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Health Information Science

Overview of attention for book
Cover of 'Health Information Science'

Table of Contents

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    Book Overview
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    Chapter 1 Making Sense of Violence Risk Predictions Using Clinical Notes
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    Chapter 2 An Auto Question Answering System for Tree Hole Rescue
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    Chapter 3 Research on the Behavior Pattern of Microblog “Tree Hole” Users with Their Temporal Characteristics
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    Chapter 4 Exploring New Opportunities for Mental Healthcare Through the Internet of Things (IoT)
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    Chapter 5 Ontology-Based Semantic Similarity Approach for Biomedical Dataset Retrieval
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    Chapter 6 Research on Named Entity Recognition of Traditional Chinese Medicine Electronic Medical Records
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    Chapter 7 AHIAP: An Agile Medical Named Entity Recognition and Relation Extraction Framework Based on Active Learning
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    Chapter 8 An Integrated Knowledge Graph for Microbe-Disease Associations
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    Chapter 9 A Novel Blockchain Based Smart Contract System for eReferral in Healthcare: HealthChain
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    Chapter 10 Telemedicine System with Elements of Artificial Intelligence for Health Monitoring During COVID-19 Pandemic
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    Chapter 11 Genetic Interpretation System for Screening Monogenic Disorders Carriers
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    Chapter 12 A Prediction Model of Gestational Diabetes Mellitus Based on First Pregnancy Test Index
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    Chapter 13 Antisocial Behaviour Analyses Using Deep Learning
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    Chapter 14 A DNN for Arrhythmia Prediction Based on ECG
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    Chapter 15 An Agent-Based Framework for Persuasive Health Behavior Change Intervention
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    Chapter 16 Design Tailored Nutrition and Weight Control Recommendations Using Nutrigenetics and FFQ
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    Chapter 17 Individualized Medication Guidance Based on Pharmacogenomics
Attention for Chapter 13: Antisocial Behaviour Analyses Using Deep Learning
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Chapter title
Antisocial Behaviour Analyses Using Deep Learning
Chapter number 13
Book title
Health Information Science
Published by
Springer, Cham, October 2020
DOI 10.1007/978-3-030-61951-0_13
Book ISBNs
978-3-03-061950-3, 978-3-03-061951-0
Authors

Ravinder Singh, Yanchun Zhang, Hua Wang, Yuan Miao, Khandakar Ahmed, Singh, Ravinder, Zhang, Yanchun, Wang, Hua, Miao, Yuan, Ahmed, Khandakar

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 15%
Student > Bachelor 1 8%
Lecturer 1 8%
Professor 1 8%
Student > Master 1 8%
Other 2 15%
Unknown 5 38%
Readers by discipline Count As %
Computer Science 6 46%
Nursing and Health Professions 1 8%
Social Sciences 1 8%
Unknown 5 38%