Kooperativer Bibliotheksverbund

UID:

Umfang: XVII, 246 Seiten , Illustrationen , 17 cm x 24 cm, 587 g

Ausgabe: 1

ISBN: 9783110708004 , 3110708000

Serie: Intelligent Biomedical Data Analysis (IBDA) Volume 7

Anmerkung: Erscheint auch als Online-Ausgabe 9783110708127 (ISBN) , Erscheint auch als Online-Ausgabe 9783110708172 (ISBN)

Sprache: Englisch

Schlagwort(e): Gesundheitswesen ; Deep learning ; Krebsforschung ; Deep learning

URL: https://www.degruyter.com/isbn/9783110708004

UID:

Umfang: 1 online resource (XVIII, 250 pages)

ISBN: 9783110708127

Serie: Intelligent biomedical data analysis Volume 7

Inhalt: This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language processing

Anmerkung: Description based on online resource; title from PDF title page (publisher's Web site, viewed 27. Okt 2021) , In English

Weitere Ausg.: Erscheint auch als Druck-Ausgabe ISBN 978-3-11-070800-4

Sprache: Englisch

Schlagwort(e): Gesundheitswesen ; Deep learning ; Krebsforschung

DOI: 10.1515/9783110708127

URL: Volltext  (URL des Erstveröffentlichers)

UID:

ISBN: 9783110708127 , 9783110708172

Serie: Intelligent Biomedical Data Analysis

Inhalt: "THE SERIES: INTELLIGENT BIOMEDICAL DATA ANALYSIS By focusing on the methods and tools for intelligent data analysis, this series aims to narrow the increasing gap between data gathering and data comprehension. Emphasis is also given to the problems resulting from automated data collection in modern hospitals, such as analysis of computer-based patient records, data warehousing tools, intelligent alarming, effective and efficient monitoring. In medicine, overcoming this gap is crucial since medical decision making needs to be supported by arguments based on existing medical knowledge as well as information, regularities and trends extracted from big data sets."

Sprache: Englisch

URL: https://img1.od-cdn.com/ImageType-200/6565-1/{36D61B78-EDC2-4E6D-8807-930577EADC0B}IMG200.JPG

URL: https://img1.od-cdn.com/ImageType-150/6565-1/{36D61B78-EDC2-4E6D-8807-930577EADC0B}IMG150.JPG

URL: https://samples.overdrive.com/?crid=36d61b78-edc2-4e6d-8807-930577eadc0b&.epub-sample.overdrive.com

URL: https://api.overdrive.com/v1/collections/v1L1BBQ0AAA2_/products/36d61b78-edc2-4e6d-8807-930577eadc0b/metadata

URL: http://voebb.lib.overdrive.com/ContentDetails.htm?ID=36D61B78-EDC2-4E6D-8807-930577EADC0B

UID:

Umfang: 1 online resource (XVIII, 250 p.)

ISBN: 9783110708127

Serie: Intelligent Biomedical Data Analysis , 7

Inhalt: This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language processing.

Anmerkung: Frontmatter -- , Preface -- , Acknowledgments -- , Contents -- , Short Biography of Editors -- , List of Contributors -- , Deep learning for health and medicine -- , Exploring Indian Yajna and mantra sciences for personalized health: pandemic threats and possible cures in twenty-first-century healthcare -- , Advanced deep learning techniques and applications in healthcare services -- , Visualizations of human bioelectricity with internal symptom captures: the Indo-Vedic concepts on Healthcare 4.0 -- , Early cancer predictions using ensembles of machine learning and deep learning -- , Deep learning in patient management and clinical decision making -- , Patient health record system -- , Prediction of multiclass cervical cancer using deep machine learning algorithms in healthcare services -- , Comparative analysis for detecting skin cancer using SGD-based optimizer on a CNN versus DCNN architecture and ResNet-50 versus AlexNet on Adam optimizer -- , Coronary heart disease analysis using two deep learning algorithms, CNN and RNN, and their sensitivity analyses -- , An overview of the technological performance of deep learning in modern medicine -- , Index , In English.

Weitere Ausg.: ISBN 9783110708172

Weitere Ausg.: ISBN 9783110708004

Sprache: Englisch

DOI: 10.1515/9783110708127

URL: https://doi.org/10.1515/9783110708127

URL: https://www.degruyter.com/isbn/9783110708127

URL: https://doi.org/10.1515/9783110708127

URL: https://www.degruyter.com/isbn/9783110708127

UID:

Umfang: 1 online resource (XVIII, 250 p.)

ISBN: 9783110708127 , 9783110754001

Serie: Intelligent Biomedical Data Analysis , 7

Inhalt: This book uncovers the stakes and possibilities involved in realising personalised healthcare services through efficient and effective deep learning algorithms, enabling the healthcare industry to develop meaningful and cost-effective services. This requires effective understanding, application and amalgamation of deep learning with several other computing technologies, such as machine learning, data mining, and natural language processing.

Anmerkung: Frontmatter -- , Preface -- , Acknowledgments -- , Contents -- , Short Biography of Editors -- , List of Contributors -- , Deep learning for health and medicine -- , Exploring Indian Yajna and mantra sciences for personalized health: pandemic threats and possible cures in twenty-first-century healthcare -- , Advanced deep learning techniques and applications in healthcare services -- , Visualizations of human bioelectricity with internal symptom captures: the Indo-Vedic concepts on Healthcare 4.0 -- , Early cancer predictions using ensembles of machine learning and deep learning -- , Deep learning in patient management and clinical decision making -- , Patient health record system -- , Prediction of multiclass cervical cancer using deep machine learning algorithms in healthcare services -- , Comparative analysis for detecting skin cancer using SGD-based optimizer on a CNN versus DCNN architecture and ResNet-50 versus AlexNet on Adam optimizer -- , Coronary heart disease analysis using two deep learning algorithms, CNN and RNN, and their sensitivity analyses -- , An overview of the technological performance of deep learning in modern medicine -- , Index , Mode of access: Internet via World Wide Web. , In English.

In: EBOOK PACKAGE COMPLETE 2021 English, De Gruyter, 9783110754001

In: EBOOK PACKAGE Engineering, Computer Sciences 2021 English, De Gruyter, 9783110754070

In: EBOOK PACKAGE Engineering, Computer Sciences 2021, De Gruyter, 9783110753837

Weitere Ausg.: ISBN 9783110708172

Weitere Ausg.: ISBN 9783110708004

Sprache: Englisch

DOI: 10.1515/9783110708127

URL: https://doi.org/10.1515/9783110708127

URL: https://www.degruyter.com/isbn/9783110708127

URL: Cover