UID:
almahu_9949387953302882
Format:
XII, 326 p. 99 illus., 75 illus. in color.
,
online resource.
Edition:
1st ed. 2022.
ISBN:
9783031206276
Series Statement:
Lecture Notes in Computer Science, 13705
Content:
This book constitutes the refereed proceedings of the 11th International Conference on Health Information Science, HIS 2022, held in Virtual Event during October 28-30, 2022. The 20 full papers and 9 short papers included in this book were carefully reviewed and selected from 54 submissions. They were organized in topical sections as follows: applications of health and medical data; health and medical data processing; health and medical data mining via graph-based approaches; and health and medical data classification.
Note:
Applications of Health and Medical Data -- Evidence extraction to validate medical claims in fake news detection -- Detection of obsessive-compulsive disorder in Australian children and adolescents using machine learning methods -- An Anomaly Detection Framework Based on Data Lake for Medical Multivariate Time Series -- Anomaly Detection on Health Data -- DRAM-Net: A Deep Residual Alzheimer's Diseases and Mild Cognitive Impairment Detection Network Using EEG Data -- An Intelligence Model for Blood Pressure Estimation from Photoplethysmography Signal -- Tailored Nutrition Service to Reduce the Risk of Chronic Diseases -- Combining Process Mining And Time Series Forecasting To Predict Hospital Bed Occupancy -- HGCL: Heterogeneous Graph Contrastive Learning for Traditional Chinese Medicine Prescription Generation -- Fractional Fourier Transform Aided Computerized Framework for Alcoholism Identification in EEG -- Learning optimal treatment strategies for sepsis using online reinforcement learning in continuous space -- Health and Medical Data Processing -- MHDML:Construction of A Medical Lakehouse for Multi-source Heterogeneous Data -- Data Exploration Optimization for Medical Big Data -- Improving Data Analytic Performance in Health Information System with Big Data Technology -- HoloCleanX: A Multi-source Heterogeneous Data Cleaning Solution Based on Lakehouse Platform -- The construction and validation of an automatic crisis balance analysis model -- Assessing the Utilization of TELedentistry from perspectives of early career dental practitioners - development of the UTEL Questionnaire -- Genetic Algorithm for Patient Assignment Optimization in Cloud Healthcare System -- Research on the Crisis Intervention Strategy Service System -- Towards a Perspective to Analyze Emergent Sytems in the Health Domain -- Health and Medical Data Mining via Graph-based Approaches -- Food recommendation for mental health by using knowledge graph approach -- Medical Knowledge Graph Construction Based on Traceable Conversion -- Medical Knowledge Graph Construction Based on Traceable Conversion -- Alcoholic EEG Data Classification Using Weighted Graph Based Technique -- Health and Medical Data Classification -- Optical Coherence Tomography Classification based on Transfer Learning and RA-Attention -- Intelligent Interpretation and Classification of Multivariate Medical time series based on Convolutional Neural Networks -- ECG Signals Classification Model Based on Frequency domain Features Coupled with Least Square Support Vector Machine (LS-SVM) -- Cluster analysis of low-dimensional medical concept representations from Electronic Health Records.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783031206269
Additional Edition:
Printed edition: ISBN 9783031206283
Language:
English
DOI:
10.1007/978-3-031-20627-6
URL:
https://doi.org/10.1007/978-3-031-20627-6
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