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Smart Health

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Cover of 'Smart Health'

Table of Contents

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    Book Overview
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    Chapter 1 Estimation of Potential Richness of Dark Matters in “Pan Metagenome” Using Species Appearance Model
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    Chapter 2 Prediction of Hospital Readmission for Heart Disease: A Deep Learning Approach
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    Chapter 3 DEKGB: An Extensible Framework for Health Knowledge Graph
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    Chapter 4 Research on Three-Dimensional Reconstruction of Brain Image Features Based on Augmented Reality Technology
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    Chapter 5 Towards an E-health Ecosystem for China
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    Chapter 6 Using Deep Learning and Smartphone for Automatic Detection of Fall and Daily Activities
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    Chapter 7 Imbalanced Cardiotocography Multi-classification for Antenatal Fetal Monitoring Using Weighted Random Forest
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    Chapter 8 A Framework Design of National Healthy Diet Monitoring System
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    Chapter 9 The Research on Spatial Accessibility to Healthcare Services Resources in Tianhe, Guangzhou
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    Chapter 10 A Comprehensive Database Based on Multiple Data Sources to Facilitate Diagnosis of ASD
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    Chapter 11 An Empirical Study on the Influencing Factors of the Continued Usage of Fitness Apps
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    Chapter 12 Understanding Opioid Addiction with Similarity Network-Based Deep Learning
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    Chapter 13 Analysis of Smart Health Research Context and Development Trend Driven by Big Data
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    Chapter 14 The Impact of Physician’s Login Behavior on Patients’ Search and Decision in OHCs
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    Chapter 15 Dynamic Evolution of Social Network in OHCs Based on Stochastic Actor-Based Model: A Case Study of WeChat Group
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    Chapter 16 Understanding WeChat Users’ Herd Behavior in Forwarding Health Information: An Empirical Study in China
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    Chapter 17 How Does Health Knowledge Sharing Affect Patient Perceived Value in Online Health Communities? A Social Capital Perspective
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    Chapter 18 Health Information Seeking Behaviours of the Elderly in a Technology-Amplified Social Environment
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    Chapter 19 Application of Hidden Markov Model on the Prediction of Hepatitis B Incidences
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    Chapter 20 Identifying Physician Fraud in Healthcare with Open Data
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    Chapter 21 Detecting False Information in Medical and Healthcare Domains: A Text Mining Approach
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    Chapter 22 Research on Cerebrovascular Disease Prediction Model Based on the Long Short Term Memory Neural Network
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    Chapter 23 Identifying Privacy Leakage from User-Generated Content in an Online Health Community
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    Chapter 24 Detection of Atrial Fibrillation from Short ECG Signals Using a Hybrid Deep Learning Model
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    Chapter 25 Gradient Boosting Based Prediction Method for Patient Death in Hospital Treatment
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    Chapter 26 Extracting Medication Nonadherence Reasons with Sentiment-Enriched Deep Learning
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    Chapter 27 Perceived Usefulness of Online Health Information Sharing: A Text Mining Based Empirical Research
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    Chapter 28 Character-Based Deep Learning Approaches for Clinical Named Entity Recognition: A Comparative Study Using Chinese EHR Texts
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    Chapter 29 Cost Optimization Estimation of Medical Institutions in the Hierarchical Medical System Based on System Dynamics Model
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    Chapter 30 Knowledge Base Construction Based on Knowledge Fusion Process Model
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    Chapter 31 CrowdMed: A Blockchain-Based Approach to Consent Management for Health Data Sharing
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    Chapter 32 Research on the Construction of Information Service Platform for Autism Based on Knowledge Map
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    Chapter 33 Data-Driven Hospital Surgery Scheduling Optimization
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    Chapter 34 China’s Biomedical Scientific Leadership Flows and the Role of Proximity
Attention for Chapter 3: DEKGB: An Extensible Framework for Health Knowledge Graph
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Chapter title
DEKGB: An Extensible Framework for Health Knowledge Graph
Chapter number 3
Book title
Smart Health
Published by
Springer, Cham, July 2019
DOI 10.1007/978-3-030-34482-5_3
Book ISBNs
978-3-03-034481-8, 978-3-03-034482-5
Authors

Ming Sheng, Yuyao Shao, Yong Zhang, Chao Li, Chunxiao Xing, Han Zhang, Jingwen Wang, Fei Gao, Sheng, Ming, Shao, Yuyao, Zhang, Yong, Li, Chao, Xing, Chunxiao, Zhang, Han, Wang, Jingwen, Gao, Fei

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 2 18%
Student > Master 2 18%
Student > Ph. D. Student 1 9%
Professor 1 9%
Researcher 1 9%
Other 1 9%
Unknown 3 27%
Readers by discipline Count As %
Computer Science 4 36%
Mathematics 1 9%
Business, Management and Accounting 1 9%
Physics and Astronomy 1 9%
Unknown 4 36%