Kooperativer Bibliotheksverbund

UID:

Format: XIX, 841 S.

ISBN: 3-527-15463-9 , 0-89573-993-3

Content: "The present dictionary covers entries from all areas of medicine and in particular medical practice." Also includes international nonproprietary names and generic drug names, but not trademarks. Entries include English word or phrase and German equivalents (no definitions).

Note: Bd. Deutsch-Englisch u.d.T.: Dressler, Stephan: Wörterbuch klinische Medizin

Language: English

Subjects: Medicine

Keywords: Klinische Medizin ; Englisch ; Deutsch ; Klinische Medizin ; Englisch ; Medizin ; Deutsch ; Medizin ; Englisch ; Medizin ; Deutsch ; Enzyklopädie ; Mehrsprachiges Wörterbuch ; Wörterbuch ; Dictionary, Medical ; Enzyklopädie ; Mehrsprachiges Wörterbuch ; Wörterbuch ; Wörterbuch ; Enzyklopädie ; Enzyklopädie ; Mehrsprachiges Wörterbuch ; Wörterbuch ; Dictionary, Medical

Author information: Dressler, Stephan.

UID:

Format: XVII, 878 S.

ISBN: 3-527-15464-7 , 0-89573-992-5

Note: Bd. English-German u.d.T.: Dressler, Stephan: Dictionary clinical medicine

Language: German

Subjects: Medicine

Keywords: Klinische Medizin ; Englisch ; Deutsch ; Klinische Medizin ; Medizin ; Englisch ; Medizin ; Deutsch ; Enzyklopädie ; Mehrsprachiges Wörterbuch ; Wörterbuch ; Dictionary, Medical ; Wörterbuch ; Enzyklopädie ; Mehrsprachiges Wörterbuch ; Wörterbuch ; Dictionary, Medical

Author information: Dressler, Stephan.

UID:

Format: 1 online resource (352 pages)

Edition: 1st ed.

ISBN: 0-323-99376-1

Content: Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine and Liver Diseases: Concept, Technology, Application, and Perspectives combines four major applications of artificial intelligence (AI) within the field of clinical medicine specific to liver diseases: radiology imaging, electronic health records, pathology, and multiomics. The book provides a state-of-the-art summary of AI in precision medicine in hepatology, clarifying the concept and technology of AI and pointing to the current and future applications of AI within the field of hepatology. Coverage includes data preparation, methodology and application within disease-specific cases in fibrosis, viral and steatohepatitis, cirrhosis, hepatocellular carcinoma, acute liver failure, liver transplantation, and more. The ethical and legal issues of AI and future challenges and perspectives are also discussed.

Note: 1 - Basics of artificial intelligence in medicine -- 1 - Artificial intelligence in health care: past and present -- Chapter outlines -- Clinical applications -- Introduction -- Past: a brief history of artificial intelligence in health care -- Present: artificial intelligence in health care today -- Image-based applications -- Electronic health record mining -- Reinforcement learning for identifying effective treatments -- Wearables -- Pandemic response -- Genomics -- Future: opportunities and challenges of artificial intelligence in health care -- Conclusion -- References -- 2 - Data-centric artificial intelligence in health care: progress, shortcomings, and remedies -- Introduction -- Training data generation and aggregation -- Data augmentation -- Federated learning -- Transfer representation learning -- Method specifications -- Empirical study -- Results of transfer representation learning for otitis media -- Results of transfer representation learning for otitis media -- Results of transfer representation learning for melanoma -- Results of transfer representation learning for melanoma -- Qualitative evaluation: visualization -- Qualitative evaluation: visualization -- Observations on transfer learning -- Observations on transfer learning -- Generative adversarial networks -- Method specifications -- Empirical study -- Experiment setup -- Experiment setup -- Experiment results -- Experiment results -- Fusing knowledge with generative adversarial networks -- Information from knowledge layers and structures. , Information from knowledge graph and dictionary -- Method specifications -- Empirical study -- Experiment setup -- Experiment results -- Concluding remarks -- References -- 2 - Fields of artificial intelligence in hepatology, by tools,data preparation,methodology andapplication -- 3 - Artificial intelligence in radiology and its application in liver disease -- Chapter outlines -- Clinical applications -- Introduction -- Radiomics -- Radiomics workflow -- Pre-processing -- Segmentation -- Radiomics feature extraction -- Feature selection and model building -- Clinical application of radiomics in liver imaging -- Chronic liver disease -- Classification of focal liver lesions -- Prognostication of hepatic malignancy -- Limitations and future perspectives of radiomics -- Deep learning -- Development and validation of deep learning algorithm -- Application of deep learning in liver imaging -- Liver and abdominal organ segmentation -- Quantification and classification of diffuse liver abnormalities -- Detection, segmentation, and classification of liver tumors -- Application of deep learning-based body composition analysis in liver disease -- Image quality improvement -- Limitations and future perspectives of deep learning -- Conclusion -- References -- 4 - Electronic health record for artificial intelligence health care, and application to liver disease -- Chapter outlines -- Clinical applications -- Introduction -- Electronic health records in precision health -- Precision medicine and precision health -- Earlier medicine -- Electronic health records applied to prediction of fatty liver -- Data preprocessing -- Variable selection -- Validation -- Time series data used to predict liver cancer risk -- Preprocessing: electronic health record images -- Convolutional neural network model building -- Validation. , Natural language processing for time-series coded data -- Conclusion -- References -- 5 - Artificial intelligence in pathology and application to liver disease -- Chapter outlines -- Clinical applications -- Introduction -- Role of pathology in liver disease diagnosis and staging -- Digital revolution of pathology -- Principles of artificial intelligence processing of whole-slide images -- Applications of artificial intelligence-based pathology -- Automated or assisted diagnosis -- Artificial intelligence-based prognostication -- Artificial intelligence-based pathology and the next generation of biomarkers -- Challenges to implementing artificial intelligence in pathology -- Conclusion -- References -- 6 - Artificial intelligence using multiomics/genetic tools and application in liver disease -- Introduction -- Multiomics data and their integration in hepatocellular carcinoma -- Cardinal data resources for multiomics analysis -- Applications of high-throughput multiomics hepatocellular carcinoma data -- Subtype and subgroup identification -- Diagnostic markers -- Prognostic markers -- Therapeutic markers -- Conclusion -- Clinical applications -- References -- 3 - Artificial intelligenc eapplication inspecific diseasesof liver -- 7 - Artificial intelligence in prediction of steatosis and fibrosis of nonalcoholic fatty liver disease -- Chapter outlines -- Clinical applications -- Introduction -- Current methods for assessing steatosis -- Artificial intelligence for predicting steatosis -- Current methods for assessing liver fibrosis -- Artificial intelligence for assessing histologic fibrosis -- Conclusions and the future -- References -- 8 - Artificial intelligence in the prediction of progression and outcomes in viral hepatitis -- Chapter outlines -- Clinical applications -- A brief introduction to artificial intelligence. , Artificial intelligence in the detection or prediction of liver fibrosis in chronic viral hepatitis -- Artificial intelligence in predicting gastroesophageal varices using computed tomography images -- Artificial intelligence in the diagnosis, prediction, and prognosis of hepatocellular carcinoma -- Artificial intelligence in predicting hepatocellular carcinoma occurrence -- Artificial intelligence in predicting survival of hepatocellular carcinoma based on multiomics data -- Artificial intelligence for clinical outcome prediction using histopathology images -- Artificial intelligence in identifying microvascular invasion for predicting clinical outcomes of hepatocellular carcinoma -- Future perspectives and limitations of artificial intelligence technology -- Conclusion -- References -- 9 - Artificial intelligence in cirrhosis complications and acute liver failure -- Chapter outlines -- Definition of terms -- Clinical applications -- Introduction -- Portal hypertension -- Gastroesophageal varices -- Ascites -- Hepatic encephalopathy -- Hepatorenal syndrome -- Portal vein thrombosis -- Transplantation and hepatocellular carcinoma -- Acute-on-chronic liver failure -- Acute liver failure -- Challenges -- References -- 10 - Artificial intelligence in liver transplantation -- Chapter outline -- Clinical applications -- Introduction -- Pretransplant -- Waiting list mortality -- Organ allocation -- Donor organ assessment -- Donor-recipient matching -- Summary -- Posttransplant -- Patient survival -- Prediction of graft rejection and failure -- Other post-transplant complications -- Recurrent hepatocellular carcinoma -- Metabolic disease -- Acute kidney injury -- Summary -- Future directions -- Conclusion -- References -- 11 - Artificial intelligence in liver cancer: diagnosis and management -- Chapter outlines -- Clinical applications -- Introduction. , Overview of main machine learning models used in field of hepatocellular carcinoma -- Artificial intelligence-based differential diagnosis of hepatocellular carcinoma -- Hepatocellular carcinoma diagnosis by artificial intelligence based on multiple biomarkers -- Differential diagnosis based on the findings of ultrasonography -- Differential diagnosis based on the findings of computed tomography -- Differential diagnosis based on findings of magnetic resonance imaging -- Artificial intelligence-based prediction of treatment response of hepatocellular carcinoma -- Artificial intelligence-based prediction of prognosis of hepatocellular carcinoma -- Conclusion -- References -- 12 - Predicting drug-induced liver injury with artificial intelligence-a minireview -- Disclaimer -- Chapter outlines -- Clinical applications -- What is drug-induced liver injury? -- Why drug-induced liver injury is important to drug development and public health -- Nonanimal approaches developed for drug-induced liver injury assessment -- How the drug-induced liver injury risk of a drug is determined -- Overview of computational methods for drug-induced liver injury prediction -- Discussion -- Conclusion -- Author contributions -- Conflict of interest -- References -- 13 - Artificial intelligence in precision medicine and liver disease monitoring -- Chapter outlines -- Clinical applications -- Precision medicine -- Four key steps to achieving precision medicine -- Data from multiple sources -- Methodology for data generation -- Artificial intelligence: tool to achieve precision medicine -- Applications: All of Us as an example -- From precision medicine to precision health and precision public health -- Artificial intelligence in monitoring liver disease -- Digital medicine -- Mobile health -- Digital tracking system -- Smart mirrors -- Applications. , Telemedicine and remote medicine.

Additional Edition: Print version: Su, Tung-Hung Artificial Intelligence, Machine Learning, and Deep Learning in Precision Medicine in Liver Diseases San Diego : Elsevier Science & Technology,c2023 ISBN 9780323991360

Language: English

UID:

Format: 1 online resource (762 pages)

Edition: 1st ed.

ISBN: 0-323-95649-1

Note: Intro -- International and Life Course Aspects of COVID-19 -- Copyright -- Contents -- Contributors -- Preface -- Section A: Introductory chapters and setting the scene -- Chapter 1: COVID-19 and mortality in children -- Introduction -- Policies and procedures -- COVID-19 infection vs MIS-C -- Policies -- Applications to other areas -- Impact of COVID-19 vaccination on child mortality -- Preventive strategy -- Summary points -- Mini-dictionary of terms -- References -- Chapter 2: Congenital and perinatal COVID-19: Diagnostic challenges, current management, and outcomes -- Introduction -- Mother to neonate SARS-CoV-2 transmission -- Epidemiological data -- Mode of transmission -- Diagnostic challenges -- Outcomes of neonates born to SARS-CoV-2-positive pregnant women -- The clinical spectrum of SARS-CoV-2 infection in neonates -- Early- and late-onset SARS-CoV-2 infection -- Neonatal multisystem inflammatory syndrome -- Management -- Management of neonates born to pregnant women with suspected/confirmed COVID-19 -- Management of neonatal SARS-CoV-2 infection -- Management of neonatal MIS -- Summary points -- References -- Chapter 3: COVID-19 vaccine strategies -- Introduction -- Vaccine strategies -- Whole virus vaccines -- mRNA vaccines -- Other COVID-19 potential vaccines -- Strategies for optimizing vaccine efficacy through lifestyle changes -- Limitations of COVID-19 vaccine development and administration -- Potential side effects: Myth or reality? -- Policies and procedures -- Applications to other areas -- Conclusion -- Summary points -- Mini-dictionary of terms -- References -- Chapter 4: Social and community responses to public health and social measures for COVID-19: Community engagement for ris ... -- Introduction -- Unknown threats -- Uncertain science -- Unprepared society -- Barriers to public compliance with PHSMs. , Misinformation and disinformation under the infodemic -- Political leadership and orientation -- Stigma and fear -- Availability and allocation of tangible resources -- Disproportionate impact on the disadvantaged populations -- Confrontations of traditional norms and values -- Resistance under stringent PHSMs -- Community engagement in relation to PHSMs -- Preparedness and response to public health threats and risks via community engagement -- Capacity building -- Efficient mobilization of community resources -- Effective risk communication -- Co-creation for mitigating inequities -- Locally relevant needs and risk assessment -- Policies and procedures -- Community health workforce -- Representativeness and bilateral feedback mechanism -- Trust and social cohesion -- Social determinants of health and the welfare system -- Monitoring and evaluating community resilience -- Applications to other areas -- Mini-dictionary of terms -- Summary points -- References -- Section B: International aspects -- Chapter 5: The COVID-19 pandemic in Italy: Ecological background and epidemiological dynamics -- Introduction: Disease ecology -- Emerging diseases and zoonoses -- Epidemiology of COVID-19 in Italy: The very beginning -- Epidemiology of COVID-19 in Italy: The subsequent development -- Epidemiological models of COVID-19 in Italy -- The spatial dynamics of COVID-19 -- The effect of containment measures -- The vaccination campaign -- COVID-19 epidemiological open data in Italy -- Mini-dictionary of terms -- Summary points -- References -- Chapter 6: COVID-19 pandemic in Nigeria -- Introduction -- Full lockdown -- Education -- Livelihoods -- Household food security -- Mental health -- Changes in cases and variants after the relaxation of the lockdown -- Hospital protocols -- Infection and hospitalization rates of COVID-19 in Nigeria. , Poor emergency healthcare response -- States dense populations and demographics -- Limited healthcare resources -- Accessibility of vaccines -- Borders and control -- Cleaning of public transportation -- Closures and reopening of the nonessential indoor congregation -- First responder protocols -- Non-COVID-19 health impacts -- Mask-wearing mandates -- Commonly used masks in Nigeria -- Screening and quarantine -- Public engagement -- Economic support -- Mini-dictionary of terms -- Summary points -- References -- Chapter 7: A birds eye view of the COVID-19 pandemic in India: The past, present, and future -- Introduction to COVID-19, global trends, Indian context -- Indias initial response to the pandemic -- Trends of disease progression-different waves and their impacts -- Experiences and effects in urban v/s rural areas -- COVID-19 and comorbidities -- Impact on physicians and healthcare workers -- Exploring the ethics of clinical research with respect to vaccine trials -- Role of alternative systems of medicine -- The role played by India in vaccine diplomacy -- Postlockdown challenges for the healthcare sector -- Future implications and conclusion: Lessons learned from the pandemic and its management -- References -- Chapter 8: COVID-19 pandemic in Europe -- Introduction -- Number of opinions on the pandemic throughout the subsequent waves -- Health-related, economic, and social consequences of the COVID-19 pandemic in European countries -- Health-related consequences -- Feared consequences -- Experienced consequences -- Economic consequences -- Feared consequences -- Experienced consequences -- Social consequences -- Feared consequences -- Experienced consequences -- Policies and procedures -- Mini-dictionary of terms -- Summary points -- References -- Chapter 9: COVID-19 in Latin America and the Caribbean (LAC) -- Introduction. , COVID-19 cases in LAC -- Mortality in LAC due to COVID-19 -- Aspects related to COVID-19 lethality in LAC -- Residential segregation -- Work environments -- Comorbidities -- Poverty in LAC and its implications during the COVID-19 pandemic -- Education disparities -- Access to healthcare services in response to COVID-19 -- Vaccination in LAC -- Vaccine development -- Accessibility -- Vaccines provided -- Boosters -- Drug development -- Long-COVID-19 implications in LAC -- Policies and procedures -- Applications to other areas -- Mini-dictionary -- Summary points -- References -- Chapter 10: COVID-19 in Sudan: A multiperspective review -- Introduction -- Accessibility of vaccines -- Borders and their control -- Closures and reopening of nonessential indoor congregations and cleaning of public transportation -- First responder protocols -- Hospital protocols and hospitalization rates -- Infection rates and protective measures -- Non-COVID-19 health impact -- Policies and procedures -- Applications to other areas -- Psychological effects of the COVID-19 pandemic among healthcare professionals -- COVID-19 and malaria -- COVID-19 and cognitive impairment -- COVID-19 and its severity determinant in Sudan -- Summary points -- References -- Chapter 11: Asymptomatic infection by SARS-CoV-2 at the beginning of the epidemic in Cuba: Evidence from case series -- Introduction -- Development -- The COVID-19 epidemic in Cuba -- Organization of the Cuban strategy to confront COVID-19 -- Scientific evidence of the prevalence of asymptomatic SARS-CoV-2 infection and its role in the transmission and spread of C ... -- Case series studies -- Role of asymptomatic cases in the spread of the epidemic -- Limitations of the studies presented -- Conclusions -- Politics and procedures -- Applications to other areas -- Mini-dictionary of terms -- Summary points -- References. , Chapter 12: Stress and anxiety due to COVID-19 in India -- Introduction -- COVID-19: An unprecedented stressor -- Psychological distress in the general population vs healthcare professionals -- Special populations -- Substance use in relation to COVID-19 -- Effect of the COVID-19 pandemic on patients with mental illnesses -- Role of the media in causing psychological distress during the pandemic -- The way forward -- Summary -- References -- Chapter 13: COVID-19 pandemic in Korea: A focus on medical management -- Introduction -- The importance of the Korean case -- Narrative framework -- Policies and procedures: The back and forth medical management in Korea -- Government leadership -- Medical response -- Business strategies -- Voluntary activities -- Local community efforts -- International cooperation -- Applications to other areas: Forward medical management -- Government leadership -- Medical response -- Business strategies -- Voluntary activities -- Local community efforts -- International cooperation -- Mini-dictionary of terms -- Summary points -- References -- Chapter 14: Stigma experienced by healthcare workers during the COVID-19 pandemic: Global and Egyptian perspectives -- Introduction -- Definition and conceptual framework of COVID-19 stigma in HCWs -- Manifestations of COVID-19 Stigma in HCWs -- Egyptian perspectives -- Magnitude of COVID-19 Stigma in HCWs -- Egyptian perspectives -- Risk factors and social disparities associated with COVID-19 stigma in HCWs -- Time -- Place -- Person -- Egyptian perspectives -- Policies to face COVID-19-related stigma in HCWs worldwide and in Egypt -- Antistigma campaigns or programs -- Efforts to mitigate COVID-19 stigma at the level of HCWs -- Efforts to mitigate COVID-19 stigma at the socioecological level -- Scales for measuring COVID-19 stigma -- Mini-dictionary of terms -- Summary points. , References.

Additional Edition: ISBN 0-323-95648-3

Language: English

UID:

Format: 1 Online-Ressource (xiv, 318 Seiten).

ISBN: 978-0-12-813151-0 , 978-0-12-813151-0

Note: Front Cover; Dictionary of Sport Psychology; Copyright Page; Contents; List of Contributors; Preface; Acknowledgments; Dictionary of Sport Psychology; A; Abasement; Accreditation; Acculturation; Achievement Goal Orientation; Achievement Motivation; Action and Action Situation; Action Theory and Action Psychology; Actor-observer Bias (AOB); Acute Exercise Effect; Adaptation; Addiction; ADHD; Adherence; Adjustment; Adjustment Disorders; Adversarial Growth; Affect; Affective-emotional Zone; Affirmation; Agreeableness; Aggression; Aging-The Psychological Benefits of Exercise; Alertness , American Psychological Association (APA)American Psychological Association-Multicultural Guidelines; American Psychological Association Division 47 (Society for Sport, Exercise & Performance Psychology, SSEPP); Amotivation; Analogy Learning; Analytic Autoethnography; Androgynie; Anger; Anger Management; Anorexia Athletica; Anticipation; Antisocial Behavior; Anxiety in Sport/Sport Anxiety; Arousal; Arousal Reappraisal; Arts-based Research; Asian-South Pacific Association of Sport Psychology (ASPASP); ASP (German Society of Sport Psychology); Aspiration/Aspiration Level; Assessment , Association for Applied Sport Psychology (AASP)Athlete Burnout; Athlete Leadership; Athlete Maltreatment; Athlete Neglect; Athlete Performance; Athletes' Transitions; Athlete Welfare; Athletic Identity; Athletic Identity Loss; Attachment Theory and Coaching; Attentional Focus (External Versus Internal Focus); Attentional Style; Attentional Training; Attention Deficit (Hyperactivity Disorder); Attention-performance Linkage; Attitudes; Attractiveness; Attribution (Theory); Attribution Training; Augmented Feedback; Autoethnography; Autogenic Training; Automatization; Autonomic Nervous System , Autonomy-supportive CoachingAutonomy Supportive Strategies; Autophenomenography; Autosuggestion; Awareness; B; Basic Action Concepts (BACs); Basking in Reflected Glory (BIRGing); Behavioral Confirmation; Behavior Change; Behavior Modification; Behavior, Prosocial; Behavioral Medicine; Big Five Personality Model; Bio-Ecological Theory (Formerly Dynamic Systems Theory); Biofeedback- Multimodal Biofeedback Technologies; Birthplace Effect; Body Image; Brain; Brazilian Society of Sports Psychology (SOBRAPE); Breathing; Bullying; Burnout; C; Career Assistance Programs , Career Transitions [from lat. transitionem a going across or over] and Career Transition ModelsCarpenter Effect; Case Studies; Catharsis; Centering; Certification; Challenge and Threat States; Character Development; Cheating; Chest Breathing; Choking Under Pressure; Clinical Issues; Coach-athlete Relationship; Coaching Behavior Assessment System (CBAS); Codes of Conduct; Cognition, Embodied; Cognitive Function; Cognitive Interaction Technology; Cognitive Processes Executive Control; Cognitive Restructuring; Cognitive Robotics; Cognitive Sport Psychology; Cohesion; Collaborative Ethnography , Collective Cases

Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-0-12-813150-3

Language: English

Subjects: Sports Science

Keywords: Sportpsychologie ; Wörterbuch

DOI: 10.1016/C2016-0-03935-9

URL: Volltext  (URL des Erstveröffentlichers)

Author information: Strauß, Bernd 1959-

Author information: Hackfort, Dieter 1951-

UID:

Format: 1 online resource (337 pages)

ISBN: 0-12-813151-9 , 0-12-813150-0

Note: Front Cover -- Dictionary of Sport Psychology -- Copyright Page -- Contents -- List of Contributors -- Preface -- Acknowledgments -- Dictionary of Sport Psychology -- A -- Abasement -- Accreditation -- Acculturation -- Achievement Goal Orientation -- Achievement Motivation -- Action and Action Situation -- Action Theory and Action Psychology -- Actor-observer Bias (AOB) -- Acute Exercise Effect -- Adaptation -- Addiction -- ADHD -- Adherence -- Adjustment -- Adjustment Disorders -- Adversarial Growth -- Affect -- Affective-emotional Zone -- Affirmation -- Agreeableness -- Aggression -- Aging-The Psychological Benefits of Exercise -- Alertness -- American Psychological Association (APA) -- American Psychological Association-Multicultural Guidelines -- American Psychological Association Division 47 (Society for Sport, Exercise & -- Performance Psychology, SSEPP) -- Amotivation -- Analogy Learning -- Analytic Autoethnography -- Androgynie -- Anger -- Anger Management -- Anorexia Athletica -- Anticipation -- Antisocial Behavior -- Anxiety in Sport/Sport Anxiety -- Arousal -- Arousal Reappraisal -- Arts-based Research -- Asian-South Pacific Association of Sport Psychology (ASPASP) -- ASP (German Society of Sport Psychology) -- Aspiration/Aspiration Level -- Assessment -- Association for Applied Sport Psychology (AASP) -- Athlete Burnout -- Athlete Leadership -- Athlete Maltreatment -- Athlete Neglect -- Athlete Performance -- Athletes' Transitions -- Athlete Welfare -- Athletic Identity -- Athletic Identity Loss -- Attachment Theory and Coaching -- Attentional Focus (External Versus Internal Focus) -- Attentional Style -- Attentional Training -- Attention Deficit (Hyperactivity Disorder) -- Attention-performance Linkage -- Attitudes -- Attractiveness -- Attribution (Theory) -- Attribution Training -- Augmented Feedback -- Autoethnography. , Autogenic Training -- Automatization -- Autonomic Nervous System -- Autonomy-supportive Coaching -- Autonomy Supportive Strategies -- Autophenomenography -- Autosuggestion -- Awareness -- B -- Basic Action Concepts (BACs) -- Basking in Reflected Glory (BIRGing) -- Behavioral Confirmation -- Behavior Change -- Behavior Modification -- Behavior, Prosocial -- Behavioral Medicine -- Big Five Personality Model -- Bio-Ecological Theory (Formerly Dynamic Systems Theory) -- Biofeedback- Multimodal Biofeedback Technologies -- Birthplace Effect -- Body Image -- Brain -- Brazilian Society of Sports Psychology (SOBRAPE) -- Breathing -- Bullying -- Burnout -- C -- Career -- Career Assistance Programs -- Career Transitions [from lat. transitionem a going across or over] and Career Transition Models -- Carpenter Effect -- Case Studies -- Catharsis -- Centering -- Certification -- Challenge and Threat States -- Character Development -- Cheating -- Chest Breathing -- Choking Under Pressure -- Clinical Issues -- Coach-athlete Relationship -- Coaching Behavior Assessment System (CBAS) -- Codes of Conduct -- Cognition, Embodied -- Cognitive Function -- Cognitive Interaction Technology -- Cognitive Processes Executive Control -- Cognitive Restructuring -- Cognitive Robotics -- Cognitive Sport Psychology -- Cohesion -- Collaborative Ethnography -- Collective Cases -- Collectivism -- Color Effects -- Comfort Zone -- Commitment -- Community Based Research -- Compensatory Carry-over Action Model (CCAM) -- Competence Motivation Theory (CMT) -- Competition -- Competition Planning -- Competitive Anxiety -- Competitive Climate -- Competitive Goal Orientation -- Compliance -- Concentration (Skills) -- Concussion -- Confidence -- Confirmatory Factor Analysis -- Conflict -- Conflict Resolution -- Conformity -- Conscientiousness -- Consciousness -- Constructivism. , Context-Driven Sport and Exercise Psychology Practice (CDP) -- Control -- Conversational Interviews -- Coping -- Coping Strategies -- Creativity -- Creative Nonfiction -- Credentials -- Cross-cultural Sport Psychology -- Cue Utilization -- Cultural Competence -- Cultural Humility -- Cultural Safety -- Cultural Sport Psychology -- Cutting of Reflected Failure (CORFing) -- D -- Dartitis -- Debriefing -- Deceptive Actions -- Dechunking -- Decision Making -- Decolonizing Methodologies -- Deep Abdominal Breathing -- Deindividuation -- Deliberate Play -- Deliberate Practice -- Demographic Questionnaires -- Dependence, on Substances -- Depression -- Developmental Coordination Disorder (DCD) -- Deviant Behavior -- Diagnostic and Statistical Manual of Mental Disorders: DSM-5 -- Diagnostics, Functional -- Differential Learning -- Disability -- Disability and Exercise -- Discourse Analysis -- Discrimination -- Discursive Psychology -- Disorder -- Disposition -- Divergent Thinking -- Double Blind -- Dropout -- Drugs -- Dual Process Theories (DPT) -- Dual-task Paradigm -- Duoethnography -- Dyadic Relationships -- Dynamical Systems -- Dysfunctional Zone -- E -- Ecological Dynamics -- Ecological Systems Theory -- Ecological Theory -- EEG -- Ego-orientation -- Ego Involvement -- Electroencephalography or Electroencephalogram (EEG) -- Electronic Sports -- Elite Athlete -- Embodiment -- Emotion -- Emotion, Self Conscious -- Emotional Intelligence -- Emotional Schemas -- Emotion and Performance -- Empathy -- Empowerment -- End-state Comfort Effect -- Enjoyment -- Epistemological Constructionism -- eSports -- Ethics, Ethical Considerations -- Ethical Codes of Conduct -- Ethnicity -- Ethnography -- Eudaimonic Wellbeing -- Eurocentrism -- Evaluation -- Evidence Based Practice -- Evocative Autoethnography -- Evolutionary Psychology -- Excitation Transfer Theory (ETT). , Exercise -- Exercise Addiction -- Exercise Behavior Change: Enjoyment as Mediator -- Exercise Dependence -- Exercise Empowerment -- Exercise for Depression -- Exercise Habits -- Exercise Psychology -- Expertise -- Explicit Learning -- Explicit Monitoring Theories -- Extraversion -- Extrinsic Motivation -- Eye Movement Training -- Eye Tracking -- F -- Factor Analysis -- Fake -- Fan/Fandom -- Fatigue -- Fear -- Feedback, Augmented and Sensory -- Feeling -- Female Athlete Triad -- Feminism -- FEPSAC (European Federation of Sport Psychology) -- Fields of Vision -- FIT (Fun Integration Theory) -- Fitness -- Five Factor Model of Personality in Sports -- Flow -- Focal Dystonia -- Footedness -- Fortitude, Mental -- Free-Riding -- Frustration -- Fun -- Fundamental Attribution Error -- Fundamental Motor Skills -- Fun Maps -- G -- Gender Comparisons -- Gender Identity -- Gender Variance -- Generalized Motor Program -- German Society of Sport Psychology (asp e.V.) -- Giftedness -- Globalization -- Goal Setting -- Grit -- Grounded Theory -- Group -- Group Characteristics -- Group Cohesion -- Group Coordination -- Group Dynamics-Concept -- Group Dynamics-In Sports -- Group Environment Questionnaire -- Group Formation -- Group Motivation -- Group Norms -- Group Size -- Guided Meditation -- Guilt -- H -- Habits -- Handedness -- Hardiness -- Hazing -- Hazing in Sport Teams -- Health Action Process Approach -- Health Belief Model -- Health Psychology -- Heart Rate Variability -- Heteronormativity -- Heuristics -- Hick's Law -- Hierarchical Model of Intrinsic and Extrinsic Motivation -- History of Exercise Psychology -- History of Sport Psychology -- High Intensity Training and High-Intensity Low-Volume Interval Training -- Home Advantage -- Home-Choke Hypothesis -- Hostility -- Hot Hand Heuristics -- Hot Hand Fallacy -- Humor -- Hyper Activity Disorder -- Hypnosis. , I -- Identification -- Identity -- Identity Loss -- Ideomotor Effect -- Ideomotor Training -- Image Management -- Image Measurement -- Image Repair -- Imagery -- Imitation -- Implicit Knowledge -- Implicit Learning -- Implicit Self-Theory of Ability -- Impression Management -- Inattentional Blindness -- Indigenous Knowledge -- Individual Differences -- Individualism -- In-Game Shared Knowledge States -- Ingroup Bias -- Injury -- Injury Anxiety -- Injury Bias -- Injury, Psychological Susceptibility to -- Injury Time Bias -- Instruction -- Instructional Self-Talk -- Instrumental Case Study -- Intake Interview -- Intelligence-In Sport -- Intention, Intentionality -- Intention-Behavior Gap -- Interdisciplinary Connoisseurship -- Internationalization -- International Review in Sport and Exercise Psychology -- International Society of Sport Psychology (ISSP) -- Interpersonal Communication -- Interpersonal Conflict -- Interpersonal Relationship -- Interpretivism -- Intersectionality -- Intervention -- Interview -- Interview, Intake -- Intrinsic Case Study -- Intrinsic Motivation -- Intuition -- J -- Joint Action -- Journal of Sport & -- Exercise Psychology -- Journal of Sport Psychology in Action -- Junior to Senior Transition -- K -- Kinesiophobia -- Knowledge, Knowledge Structure, Implicit Knowledge -- Köhler Motivation Gain Effect -- L -- Latent (Trait/Type/Construct) Variable Versus Manifest (Observable) Variable -- Laterality, Psychology of -- Laterality Measurement -- Laterality Score -- Law of Diminished Return -- Leadership -- Leadership and Followership -- Learned Helplessness -- Learning -- Learning, Analogy -- Legal and Illegal Deceptive Behavior in Sport -- Legitimacy of Doping Rules -- LGBT Prejudice -- Life Skills -- Longitudinal Models -- Long-Term (LTM) and Short-Term (STM) Memory -- Long-Term Athlete Development -- Loss Aversion. , Lost Move Syndrome.

Language: English

UID:

Format: 1 online resource (XI, 324 p. 63 illus., 54 illus. in color.)

Edition: 3rd ed. 2019.

ISBN: 1-4939-9089-6

Series Statement: Methods in Molecular Biology, 1939

Content: This third edition volume expands on the previous editions with new topics that cover drug discovery through translational bioinformatics, informatics, clinical research informatics, as well as clinical informatics. The chapters discuss new methods to study target identification, genome analysis, cheminformatics, protein analysis, and text mining. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials, software workflows, reagents and on-line resources, together with step-by-step, readily reproducible laboratory and computational protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and thorough, Bioinformatics and Drug Discovery, Third Edition is a valuable resource for anyone interested in drug design, including academicians (biologists, informaticists and data scientists, chemists, and biochemists), clinicians, and pharmaceutical scientists.

Note: Miniaturized Checkerboard Assays to Measure Antibiotic Interactions -- High-Throughput Screening for Drug Combinations -- Post-Processing of Large Bioactivity Data -- How to Develop a Drug Target Ontology: KNowledge Acquisition and Representation Methodology (KNARM) -- A Guide to Dictionary-Based Text Mining -- Leveraging Big Data to Transform Drug Discovery -- How to Prepare a Compound Collection Prior to Virtual Screening -- Building a Quantitative Structure-Property Relationship (QSPR) Model -- Isomeric and Conformational Analysis of Small Drug and Drug-Like Molecules by Ion Mobility Mass Spectrometry (IM-MS) -- A Computational Platform and Guide for Acceleration of Novel Medicines and Personalized Medicine -- Omics Data Integration and Analysis for Systems Pharmacology -- Bioinformatics Based Tools and Software in Clinical Research: A New Emerging Area -- Text Mining for Drug Discovery -- Big Data Cohort Extraction for Personalized Statin Treatment and Machine Learning -- Drug Signature Detection Based on L1000 Genomic and Proteomic Big Data -- Drug Effect Prediction by Integrating L1000 Genomic and Proteomic Big Data -- A Bayesian Network Approach to Disease Subtype Discovery.

Additional Edition: ISBN 1-4939-9088-8

Language: English

DOI: 10.1007/978-1-4939-9089-4

UID:

Format: 1 online resource (417 pages).

ISBN: 0-12-812321-4 , 0-12-812133-5

Series Statement: Elsevier and MICCAI Society Book Series

Note: Front Cover -- Biomedical Texture Analysis -- Copyright -- Contents -- Preface -- 1 Fundamentals of Texture Processing for Biomedical Image Analysis -- 1.1 Introduction -- 1.2 Biomedical texture processes -- 1.2.1 Image intensity versus image texture -- 1.2.2 Notation and sampling -- 1.2.3 Texture functions as realizations of texture processes -- 1.2.3.1 Texture stationarity -- 1.2.4 Primitives and textons -- 1.2.5 Biomedical image modalities -- 1.3 Biomedical Texture Analysis (BTA) -- 1.3.1 Texture operators and aggregation functions -- 1.3.2 Normalization -- 1.3.3 Invariances -- 1.3.3.1 Invariance and equivariance of operators -- 1.3.3.2 Invariances of texture measurements -- 1.3.3.3 Nongeometric invariances -- 1.4 Conclusions -- Acknowledgments -- References -- 2 Multiscale and Multidirectional Biomedical Texture Analysis -- 2.1 Introduction -- 2.2 Notation -- 2.3 Multiscale image analysis -- 2.3.1 Spatial versus spectral coverage of linear operators: the uncertainty principle -- 2.3.2 Region of interest and response map aggregation -- 2.4 Multidirectional image analysis -- 2.4.1 The Local Organization of Image Directions (LOID) -- 2.4.2 Directional sensitivity of texture operators -- 2.4.3 Locally rotation-invariant operators and moving frames representations -- 2.4.4 Directionally insensitive, sensitive, and moving frames representations for texture classi cation: a quantitative performance comparison -- 2.5 Discussions and conclusions -- Acknowledgments -- References -- 3 Biomedical Texture Operators and Aggregation Functions -- 3.1 Introduction -- 3.2 Convolutional approaches -- 3.2.1 Circularly/spherically symmetric lters -- 3.2.2 Directional lters -- 3.2.2.1 Gabor wavelets -- 3.2.2.2 Maximum Response 8 (MR8) -- 3.2.2.3 Histogram of Oriented Gradients (HOG) -- 3.2.2.4 Riesz transform -- 3.2.3 Learned lters. , 3.2.3.1 Steerable Wavelet Machines (SWM) -- 3.2.3.2 Dictionary Learning (DL) -- 3.2.3.3 Deep Convolutional Neural Networks (CNN) -- 3.2.3.4 Data augmentation -- 3.3 Gray-level matrices -- 3.3.1 Gray-Level Cooccurrence Matrices (GLCM) -- 3.3.2 Gray-Level Run-Length Matrices (GLRLM) -- 3.3.3 Gray-Level Size Zone Matrices (GLSZM) -- 3.4 Local Binary Patterns (LBP) -- 3.5 Fractals -- 3.6 Discussions and conclusions -- Acknowledgments -- References -- 4 Deep Learning in Texture Analysis and Its Application to Tissue Image Classi cation -- 4.1 Introduction -- 4.2 Introduction to convolutional neural networks -- 4.2.1 Neurons and nonlinearity -- 4.2.2 Neural network -- 4.2.3 Training -- 4.2.3.1 Forward pass -- 4.2.3.2 Error -- 4.2.3.3 Backpropagation of the error -- 4.2.3.4 Stochastic gradient descent -- 4.2.3.5 Weights initialization -- 4.2.3.6 Regularization -- 4.2.4 CNN -- 4.2.4.1 Main building blocks -- 4.2.4.2 CNN architectures -- 4.2.4.3 Visualization -- 4.3 Deep learning for texture analysis: literature review -- 4.3.1 Early work -- 4.3.2 Texture speci c CNNs -- 4.3.3 CNNs for biomedical texture classi cation -- 4.4 End-to-end texture CNN: proposed solution -- 4.4.1 Method -- 4.4.2 Experiments -- 4.4.2.1 Details of the network -- 4.4.2.2 Datasets -- 4.4.3 Results and discussions -- 4.4.3.1 Networks from scratch and pretrained -- 4.4.3.2 Networks depth analysis -- 4.4.3.3 Domain transferability and visualization -- 4.4.3.4 Results on larger images -- 4.4.4 Combining texture and shape analysis -- 4.5 Application to tissue images classi cation -- 4.5.1 State-of-the-art -- 4.5.2 Method -- 4.5.3 Datasets -- 4.5.3.1 AGEMAP -- 4.5.3.2 Lymphoma -- 4.5.4 Results and discussions -- 4.6 Conclusion -- References -- 5 Fractals for Biomedical Texture Analysis -- 5.1 Introduction -- 5.2 Tissue texture -- 5.3 Basic concepts of fractal geometry. , 5.3.1 Self-similarity -- 5.3.2 Ordered hierarchy -- 5.3.3 Degree of irregularity -- 5.4 Methods for computing fractal dimensions -- 5.4.1 Differential Box-Counting (DBC) method -- 5.4.2 Fractional Brownian motion methods -- 5.4.2.1 Power spectrum -- 5.4.2.2 Variogram -- 5.4.3 Area-based methods -- 5.4.3.1 Triangular prism -- 5.4.3.2 Isarithm -- 5.4.3.3 Robust estimator -- 5.4.3.4 Epsilon-blanket -- 5.5 Types of fractals -- 5.6 FD parameter estimation optimization -- 5.7 Lacunarity analysis -- 5.7.1 Assessing image texture sparsity -- 5.7.2 Rotation-invariance -- 5.7.3 Clinical signi cance -- 5.8 Tumor tissue characterization -- 5.8.1 Surface roughness -- 5.8.2 Tumor fractal analysis -- 5.9 Considerations for fractal analysis -- 5.9.1 Choosing a suitable method for estimating the FD -- 5.9.2 Multivariate fractal analysis -- 5.9.3 Performing fractal or multifractal analysis -- 5.10 Conclusion -- References -- 6 Handling of Feature Space Complexity for Texture Analysis in Medical Images -- 6.1 Introduction -- 6.2 Applications of texture analysis -- 6.2.1 Lesion detection -- 6.2.2 Disease categorization -- 6.2.3 Image retrieval -- 6.3 Review of classi cation methods -- 6.3.1 Ensemble classi cation -- 6.3.2 Subcategorization -- 6.3.3 Sparse representation -- 6.4 Subcategory-based ensemble classi cation -- 6.4.1 Large Margin Local Estimate (LMLE) -- 6.4.1.1 Reference subcategorization -- 6.4.1.2 Local estimate generation -- 6.4.1.3 Large margin aggregation -- 6.4.2 Locally-constrained subcluster representation ensemble -- 6.4.2.1 Subcluster generation -- 6.4.2.2 Basis representation -- 6.4.2.3 Representation fusion -- 6.5 Experiments -- 6.5.1 Dataset and implementation -- 6.5.2 Results of patch classi cation -- 6.6 Conclusions -- References -- 7 Rigid Motion Invariant Classi cation of 3D Textures and Its Application to Hepatic Tumor Detection. , 7.1 Introduction -- 7.2 Isotropic multiresolution analysis -- 7.3 Implementing rotations with compactly supported re nable functions -- 7.4 Connecting IMRA with stochastic texture models using Gaussian Markov Random Fields (GMRF) -- 7.5 Feature space for rotationally invariant texture discrimination -- 7.5.1 Self-distance for 3D textures -- 7.6 3D texture-based features -- 7.7 Conclusion -- References -- 8 An Introduction to Radiomics: An Evolving Cornerstone of Precision Medicine -- 8.1 Introduction -- 8.2 Background on cancer care -- 8.2.1 Biomarkers and cancer care -- 8.2.2 Limitations of response assessment process -- 8.2.3 Limitations of characterization process -- 8.2.4 Limitations of current biomarkers -- 8.3 The potential areas of radiomics utility -- 8.4 Work ow of radiomics -- 8.4.1 Image acquisition -- 8.4.2 Segmentation -- 8.4.3 Feature extraction -- 8.4.4 Analysis and validation -- 8.5 Examples of radiomics literature -- 8.6 Challenges of radiomics -- 8.7 Conclusions -- References -- 9 Deep Learning Techniques on Texture Analysis of Chest and Breast Images -- 9.1 Introduction -- 9.2 Computer-aided detection -- 9.2.1 Lung nodule detection in CT scans -- 9.2.2 Other detection problems for CT scans -- 9.3 Computer-aided diagnosis -- 9.3.1 Computer-aided diagnosis on breast lesions in ultrasound images -- 9.3.2 Computer-aided diagnosis on pulmonary nodules in CT scans -- 9.3.3 Other computer-aided diagnosis problems in pulmonary CT scans -- 9.4 Automatic mapping from image content to the semantic terms -- 9.4.1 Semantic mapping with the conventional pattern recognition paradigm -- 9.4.2 Deep learning for semantic mapping -- 9.5 Conclusion -- Acknowledgments -- References -- 10 Analysis of Histopathology Images -- 10.1 Histopathology imaging: a challenge for texture analysis -- 10.2 Traditional machine learning approaches. , 10.2.1 Preprocessing -- 10.2.1.1 Staining normalization -- 10.2.1.2 Illumination normalization -- 10.2.2 Detection and segmentation of structures -- 10.2.2.1 Nuclei and cells -- 10.2.2.2 Glands -- 10.2.3 Feature extraction -- 10.2.3.1 Object-level features -- 10.2.3.2 Architectural features -- 10.2.3.3 Global and window based features -- 10.2.3.4 Multiresolution approaches -- 10.2.4 Feature selection and dimensionality reduction -- 10.2.4.1 Feature selection -- 10.2.4.2 Dimensionality reduction -- 10.2.5 Classi cation -- 10.3 Deep learning approaches -- 10.3.1 Supervised and unsupervised feature learning architectures -- 10.3.2 Deep convolutional neural networks -- 10.3.3 Deep learning approaches to histopathology image analysis -- 10.4 Histopathology challenges -- 10.4.1 Datasets -- 10.4.2 Tasks -- 10.4.3 Evaluation metrics -- 10.4.3.1 Mitosis detection -- 10.4.3.2 Image classi cation -- 10.4.3.3 Structure localization and/or segmentation -- 10.5 Detecting mitoses -- 10.6 Frame and whole slide image classi cation -- 10.7 Structure segmentation -- 10.8 Discussion and conclusions -- Acknowledgments -- References -- 11 MaZda - A Framework for Biomedical Image Texture Analysis and Data Exploration -- 11.1 Introduction -- 11.1.1 Related work -- 11.2 Texture analysis with MaZda -- 11.2.1 Overview of the image analysis work ows -- 11.2.2 Regions of interest -- 11.2.3 Feature extraction -- 11.2.3.1 Texture features -- 11.2.3.2 Color features -- 11.2.3.3 Morphological features -- 11.2.4 Image preprocessing -- 11.2.5 Feature naming convention -- 11.2.6 Feature maps and image segmentation -- 11.2.7 Machine learning -- 11.2.7.1 Feature selection -- 11.2.7.2 Classi cation -- 11.2.7.3 Processing beyond MaZda - data mining using Weka -- 11.3 Applications -- 11.3.1 Lesion detection with MaZda and Weka -- 11.4 Summary -- Appendix 11.A. , 11.A.1 List of feature name symbols.

Language: English

UID:

Format: 1 online resource (168 p.)

Edition: 1st ed.

ISBN: 1-280-21204-7 , 9786610212040 , 0-309-56001-2 , 0-585-15631-X

Series Statement: Publication IOM Clinical practice guidelines

Note: Description based upon print version of record. , ""Clinical Practice Guidelines""; ""Copyright""; ""Acknowledgments""; ""Contents""; ""Summary""; ""CONTEXT""; ""OVERVIEW OF PRACTICE GUIDELINES INITIATIVES""; ""Public Initiatives""; ""Private Initiatives""; ""INSTITUTE OF MEDICINE COMMITTEE AND PROJECT""; ""FINDINGS AND CONCLUSIONS""; ""State of the Art""; ""Ahcpr and the Forum""; ""Roles of Public and Private Sectors""; ""RECOMMENDATIONS: DEFINITIONS""; ""RECOMMENDATIONS: ATTRIBUTES OF GOOD GUIDELINES""; ""RECOMMENDATIONS: IMPLEMENTATION AND EVALUATION""; ""DIVERSITY IN CLINICAL PRACTICES AND GUIDELINES"" , ""EXPECTATIONS FOR PRACTICE GUIDELINES""""NEXT STEPS FOR THE INSTITUTE OF MEDICINE""; ""FINAL COMMENT""; ""1 Introduction and Background ""; ""CONTEXT""; ""OVERVIEW OF PRACTICE GUIDELINES INITIATIVES""; ""Public Initiatives""; ""Private Initiatives""; ""SPECIFIC RESPONSIBILITIES OF AHCPR""; ""Deadlines and Priorities""; ""Development Procedures and Requirements""; ""Dissemination""; ""Use of Guidelines""; ""Evaluation and Further Research""; ""THE INSTITUTE OF MEDICINE COMMITTEE AND PROJECT""; ""OVERVIEW OF THE REPORT""; ""CONCLUSIONS AND CAUTIONARY NOTES""; ""REFERENCES"" , ""2 Definitions of Key Terms """"THE COMMITTEE'S APPROACH""; ""PRACTICE GUIDELINES""; ""Common Usage: The Dictionary""; ""Professional and Technical Usage""; ""The Committee's Definition: Practice Guideline""; ""Guidelines and the Strength of Evidence""; ""Relation of Guidelines to Review Criteria and Other Evaluation Tools""; ""Definition of Appropriate Care""; ""Guidelines and Costs""; ""EVALUATION INSTRUMENTS""; ""MEDICAL REVIEW CRITERIA""; ""Common Usage: The Dictionary""; ""Professional and Technical Usage""; ""The Committee's Definition: Medical Review Criteria"" , ""STANDARDS OF QUALITY""""Common Usage: The Dictionary""; ""Professional and Technical Usage""; ""The Committee's Definition: Standards of Quality""; ""PERFORMANCE MEASURES""; ""Common Usage: The Dictionary""; ""Professional and Technical Usage""; ""The Committee's Provisional Definition: Performance Measures""; ""CONCLUSIONS AND SUMMARY""; ""REFERENCES""; ""3 Attributes of Good Practice Guidelines ""; ""BACKGROUND AND TERMINOLOGY""; ""WORKING ASSUMPTIONS""; ""PRINCIPLES""; ""PAST WORK ON DEFINING ATTRIBUTES""; ""ATTRIBUTES FOR ASSESSING PRACTICE GUIDELINES: OVERVIEW""; ""VALIDITY"" , ""Projected Health Outcomes""""Projected Costs""; ""Relationship Between the Evidence and the Guidelines""; ""Preference for Empirical Evidence Over Expert Judgement""; ""Thorough Literature Review""; ""Methods Used to Evaluate the Scientific Literature""; ""Strength of Evidence""; ""Use of Expert Judgment""; ""Strength of Expert Consensus""; ""Independent Review""; ""Pretesting""; ""RELIABILITY/REPRODUCIBILITY""; ""CLINICAL APPLICABILITY""; ""CLINICAL FLEXIBILITY""; ""CLARITY""; ""MULTIDISCIPLINARY PROCESS""; ""SCHEDULED REVIEW""; ""DOCUMENTATION""; ""CONCLUSION""; ""REFERENCES"" , ""4 Implementation and Evaluation "" , English

Additional Edition: ISBN 0-309-04346-8

Language: English

UID:

Format: 1 online resource (478 pages)

Edition: 1st ed.

ISBN: 981-9989-49-3

Note: Intro -- Foreword -- Preface -- Contents -- Editors and Contributors -- About the Editors -- Contributors -- Abbreviations -- 1: Introduction to Pharmacovigilance -- 1.1 Introduction -- 1.2 Needs and Objectives of Pharmacovigilance -- 1.2.1 Needs -- 1.2.2 Objectives -- 1.3 Pharmacovigilance in Drug Development -- 1.4 Classification -- 1.4.1 Vaccine Vigilance -- 1.4.2 Herbovigilance -- 1.4.3 Materiovigilance -- 1.4.4 Hemovigilance -- 1.5 Case Reporting -- 1.5.1 The "4 Ws" of Case Reporting -- 1.5.2 Issues and Possible Solutions in Reporting -- 1.6 Causality Assessment (CA) -- 1.6.1 Purpose of Causality Assessment -- 1.6.2 Tools -- 1.6.3 Measures Taken by Regulatory Bodies -- 1.6.4 Challenges -- 1.7 Management of ADRs -- 1.8 Conclusion -- References -- 2: History of Pharmacovigilance -- 2.1 Introduction -- 2.2 Historical Background -- 2.3 Development of Pharmacovigilance in the USA -- 2.3.1 Sulfanilamide Tragedy -- 2.3.2 Regulatory Action Taken After Sulfanilamide Tragedy -- 2.3.2.1 Federal Food, Drug, and Cosmetic Act (FD& -- C Act) -- 2.3.3 Thalidomide Disaster -- 2.3.4 Regulatory Actions Taken After the Thalidomide Tragedy -- 2.3.4.1 Kefauver Harris Amendment -- 2.3.4.2 FDA 3-Segment Study Designs -- 2.3.4.3 International Drug Monitoring Programme -- 2.3.4.4 Drug Efficacy Safety Implementation Programme -- 2.3.4.5 Prescription Drug User Fee Act (PDUFA) -- 2.3.4.6 MedWatch -- 2.3.4.7 US FDA Modernization Act (FDAMA) -- 2.3.4.8 USFDA Amendment of 2007 -- 2.3.4.9 Purple Book -- 2.4 Development of Pharmacovigilance in Europe -- 2.4.1 Thalidomide Disaster -- 2.4.2 Regulatory Action Taken After the Thalidomide Disaster -- 2.4.2.1 Committee for Safety of Drugs -- 2.4.2.2 EC Directive 65/65 -- 2.4.2.3 European Medicines Agency -- 2.4.3 Theralizumab (TGN1412) Tragedy. , 2.4.4 Regulatory Action Was Taken After the TGN1412 Tragedy -- 2.5 Development of Pharmacovigilance in India -- 2.6 Development of Pharmacovigilance in Non-European Countries -- 2.6.1 Pharmacovigilance in Korea -- 2.6.2 Pharmacovigilance in China -- 2.7 Some Recent Tragedies -- 2.7.1 Heparin Contamination -- 2.7.2 Counterfeit Avastin -- 2.7.3 Ranitidine Tragedy -- 2.7.4 Digene Recall -- 2.8 Conclusion -- References -- 3: Databases Used in Pharmacovigilance Across the Globe -- 3.1 Introduction -- 3.2 Databases Used in Pharmacovigilance -- 3.3 National Pharmacovigilance Databases Used by the Different Countries -- 3.3.1 VigiBase -- 3.3.1.1 Advantages -- 3.3.1.2 Limitations -- 3.3.2 EudraVigilance -- 3.3.2.1 Advantages -- 3.3.2.2 Limitations -- 3.3.3 FDA Adverse Event Reporting System (FAERS) -- 3.3.3.1 Advantages -- 3.3.3.2 Limitations -- 3.3.4 Indicator-Based Pharmacovigilance Assessment Tool (IPAT) -- 3.3.4.1 Advantages -- 3.3.4.2 Limitations -- 3.3.5 Database of Adverse Event Notifications (DAEN) -- 3.3.5.1 Advantages -- 3.3.5.2 Limitations -- 3.3.6 Canada Vigilance Adverse Reaction Online Database -- 3.3.6.1 Advantages -- 3.3.6.2 Limitations -- 3.3.7 The Korea Adverse Event Reporting System (KAERS) -- 3.3.7.1 Advantages -- 3.3.7.2 Limitations -- 3.4 Commercially Used Pharmacovigilance Database -- 3.4.1 AB Cube: Safety Easy -- 3.4.1.1 Characteristics of AB Cube: Safety Easy -- 3.4.2 Oracle: Argus Safety Database -- 3.4.2.1 Characteristics of AB Cube: Safety Easy -- 3.4.3 Aris Global: ARISg/LifeSphere Safety -- 3.4.3.1 Characteristics of Aris Global: ARISg/LifeSphere Safety -- 3.4.4 Ennov Pharmacovigilance Suite -- 3.4.4.1 Characteristics of Ennov Pharmacovigilance Suite -- 3.4.5 BaseCon -- 3.4.5.1 Characteristics of BaseCon -- 3.5 Conclusion -- References -- 4: Processing of ADRs. , 4.1 Processing of ADRs -- 4.2 Collection of ADRs -- 4.3 Processing of Adverse Drug Reactions (ADRs) -- 4.3.1 Case Identification and Collection -- 4.3.2 Data Entry -- 4.3.3 Quality Checks -- 4.3.4 Individual Case Safety Reports (ICSRs) Creation -- 4.3.5 Signal Detection and Analysis -- 4.3.6 Signal Evaluation and Refinement -- 4.3.7 Reporting to Regulatory Authorities -- 4.3.8 Risk Communication and Management -- 4.3.9 Continuous Monitoring and Assessment -- 4.4 Reporting of ADRs in India -- 4.4.1 Reporting Requirements -- 4.4.2 Where to File a Report -- 4.4.3 How to File a Report -- 4.4.4 To Whom Report is Submitted -- 4.5 Selection of Database -- 4.6 Validity of ADRs -- 4.6.1 Validity of ADRS Form -- 4.6.2 Seriousness of ADRs -- 4.7 Triage of Case -- 4.7.1 The Triage Procedure Is Described in Detail Below -- 4.8 Listedness of Cases -- 4.8.1 Categories of Listedness -- 4.9 Medical Coding -- 4.9.1 Most Commonly Used Medical Dictionaries -- 4.9.2 Medical Dictionary for Regulatory Activities (MedDRA) -- 4.9.3 MedDRA Employs a Hierarchical Framework Comprising Five Primary Tiers -- 4.9.3.1 System-Organ Class (SOC) -- 4.9.3.2 High-Level Group Term (HLGT) -- 4.9.3.3 High-Level Term (HLT) -- 4.9.3.4 Preferred Term (PT) -- 4.9.3.5 Lowest Level Term (LLT) -- 4.9.3.6 Advantage -- 4.9.4 Standardized MedDRA Queries (SMQs) -- 4.9.4.1 Advantages -- 4.9.5 WHODRUG Global -- 4.9.5.1 Advantages -- 4.9.6 World Health Organization Adverse Reactions Terminology (WHO-ART) -- 4.9.6.1 Structure of WHO-ART -- 4.9.6.2 Advantages -- 4.9.7 WHO-DDE: World Health Organization Drug Dictionary Enhanced -- 4.9.7.1 Codes Serve the Purpose of Distinguishing Distinct Characteristics of a Product -- 4.9.7.2 Improved Accuracy and Reporting of Clinical Trial and Safety Data. , 4.9.7.3 On-Going Expansion Encompassing More Products, Countries and Services -- 4.9.7.4 Related UMC Drug Dictionary Offerings -- 4.9.7.5 Advantages -- 4.9.8 COSTART: Coding Symbols for Thesaurus of Adverse Reaction Terms -- 4.9.8.1 Overview of COSTART -- 4.9.8.2 Advantages -- 4.9.9 ICD-9-CM: International Classification of Disease, Ninth Revision, Clinical Modification -- 4.9.9.1 Development and Purpose -- 4.9.9.2 Structure and Coding System -- 4.9.9.3 Utilization in Healthcare -- 4.9.9.4 Advantages -- 4.9.10 WHO Herbal Dictionary (WHO-HD) -- 4.9.10.1 Advantages -- 4.10 Causality Assessment System -- 4.10.1 Principles of Causality Assessment -- 4.10.2 Basic Standards for Causality -- 4.10.3 Causality Assessment Determination Methods -- 4.10.3.1 Clinical Judgment/Global Introspection -- 4.10.3.2 WHO UPSALA Monitoring Centre (UMC) Method -- 4.10.4 Algorithmic Methods -- 4.10.4.1 Naranjo Scale -- 4.10.5 Probabilistic Method -- 4.10.5.1 Bayesian Method -- 4.10.5.2 Bayes' Theorem -- 4.10.5.3 Bayesian Methods in PV -- 4.11 Conclusion -- References -- 5: Aggregate Reporting -- 5.1 Introduction -- 5.2 Importance -- 5.2.1 Patient Safety -- 5.2.2 Signal Detection -- 5.2.3 Risk Management -- 5.2.4 Regulatory Compliance -- 5.2.5 Decision-Making -- 5.2.6 Public Health Monitoring -- 5.2.7 Long-Term Safety Assessment -- 5.2.8 Communication with Healthcare Professionals -- 5.2.9 Research and Development -- 5.2.10 Global Monitoring -- 5.3 Types of Aggregate Reporting -- 5.3.1 Periodic Safety Update Report (PSUR) -- 5.3.2 Periodic Adverse Drug Experience Report (PADER) -- 5.3.3 Periodic Benefit Risk Evaluation Report (PBRER) -- 5.3.4 Development Safety Updates Report (DSUR) -- 5.4 Significance -- 5.5 Challenges -- 5.5.1 Data Quality -- 5.5.2 Appropriateness -- 5.5.3 Signal Detection and Evaluation. , 5.5.4 Regulatory Acquiescence -- 5.5.5 Risk Minimization and Management -- 5.5.6 Resource Allocation -- 5.5.7 Communication and Collaboration -- 5.5.8 Updating Safety Databases -- 5.6 Conclusion -- References -- 6: Reporting of ADRs Across the Globe: India, USA, EU, and Non-EU -- 6.1 Introduction -- 6.2 Overview of ADR Reporting -- 6.2.1 Definition and Importance of ADR Reporting -- 6.2.2 Objectives and Benefits of ADR Reporting -- 6.3 ADR Reporting in India -- 6.3.1 Regulatory Framework and Authorities -- 6.3.2 Structure of ADR Reporting System -- 6.3.3 Challenges and Improvements -- 6.4 ADR Reporting in the United States -- 6.4.1 Regulatory Framework and Authorities -- 6.4.2 Structure of ADR Reporting System -- 6.4.3 Challenges and Improvements -- 6.5 ADR Reporting in the European Union -- 6.5.1 Regulatory Framework and Authorities -- 6.5.2 Structure of ADR Reporting System -- 6.5.3 Challenges and Improvements -- 6.6 ADR Reporting in the Non-European Union -- 6.6.1 Regulatory Framework and Authorities -- 6.6.2 Structure of ADR Reporting System -- 6.6.3 Challenges and Improvements -- 6.7 Comparative Analysis and Lessons Learned -- 6.8 Case Studies or Examples of ADR Reporting in India, US, EU, and Non-EU -- 6.9 Future Perspectives and Recommendations -- 6.9.1 Advancements in ADR Reporting Technology -- 6.10 Collaboration and Information Sharing Among Regions -- 6.11 Recommendations for Enhancing ADR Reporting Globally -- 6.12 Conclusion -- References -- 7: Pharmacovigilance System in India -- 7.1 Introduction -- 7.1.1 History of Pharmacovigilance System in India -- 7.2 Advantages of Pharmacovigilance System in India -- 7.3 National Pharmacovigilance Programme -- 7.3.1 Peripheral Pharmacovigilance Centers -- 7.3.2 Regional Pharmacovigilance Centers -- 7.3.3 Zonal Pharmacovigilance Centers. , 7.4 Pharmacovigilance Programme of India (PvPI).

Additional Edition: ISBN 981-9989-48-5

Language: English