Health Information Science: 9th International Conference, HIS 2020, Amsterdam, The Netherlands, October 20–23, 2020, Proceedings: Lecture Notes in Computer Science, cartea 12435
Editat de Zhisheng Huang, Siuly Siuly, Hua Wang, Rui Zhou, Yanchun Zhangen Limba Engleză Paperback – 17 oct 2020
This book constitutes the proceedings of the 9th International Conference on Health Information Science, HIS 2020, which took place in Amsterdam, The Netherlands, during October 20-23, 2020.
The 11 full papers and 6 short papers presented in this volume were carefully reviewed and selected from 62 submissions. They were organized in topical sections named: mental health; medical record processing; medical information systems; medical diagnosis with machine learning; and health behavior and medication.
The 11 full papers and 6 short papers presented in this volume were carefully reviewed and selected from 62 submissions. They were organized in topical sections named: mental health; medical record processing; medical information systems; medical diagnosis with machine learning; and health behavior and medication.
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Specificații
ISBN-13: 9783030619503
ISBN-10: 3030619508
Pagini: 185
Ilustrații: X, 185 p. 65 illus., 48 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.28 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
ISBN-10: 3030619508
Pagini: 185
Ilustrații: X, 185 p. 65 illus., 48 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.28 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Information Systems and Applications, incl. Internet/Web, and HCI
Locul publicării:Cham, Switzerland
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Cuprins
Mental Health.- Making sense of violence risk predictions using clinical notes.- An Auto Question Answering System for Tree Hole Rescue.- Research on the Behavior Pattern of Microblog "Tree Hole" Users with Their Temporal Characteristics.- Exploring New Opportunities for Mental Healthcare Through the Internet of Things (IoT).- Medical Record Processing.- Ontology-based Semantic Similarity Approach for Biomedical Dataset Retrieval.- Research on Named Entity Recognition of Traditional Chinese Medicine Electronic Medical Records.- AHIAP: An Agile Medical Named Entity Recognition and Relation Extraction Framework Based on Active Learning.- Medical Information System.- An Integrated Knowledge Graph for Microbes-Diseases Associations.- A Novel Blockchain based Smart Contract System for eReferral in Healthcare: HealthChain.- Telemedicine System with Elements of Artificial Intelligence for Health Monitoring during COVID-19 Pandemic.- Genetic Interpretation System for Screening Monogenic Disorders Carriers.- Medical Diagnosis with Machine Learning.- A Prediction Model of Gestational Diabetes Mellitus Based on First Pregnancy Test Index.- Antisocial Behaviour Analyses using Deep Learning.- A DNN for Arrhythmia Prediction Based on ECG.- Health Behavior and Medication.- An agent based framework for persuasive health behavior change intervention.- Design Tailored Nutrition and Weight Control Recommendations Using Nutrigenetics and FFQ.- Individualized Medication Guidance based on Pharmacogenomics.