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Health Information Science

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Table of Contents

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    Book Overview
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    Chapter 1 Perceptions and Experiences of General Practice Users About MyHealthRecord
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    Chapter 2 Extraction of Semantic Relations from Medical Literature Based on Semantic Predicates and SVM
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    Chapter 3 Decision Making for Traditional Chinese Medicine Based on Fuzzy Cognitive Map
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    Chapter 4 Accelerometer-Based Physical Activity Patterns and Correlates of Depressive Symptoms
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    Chapter 5 Detection of Depression from Brain Signals: A Review Study
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    Chapter 6 Extreme Learning Machine Based Diagnosis Models for Erythemato-Squamous Diseases
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    Chapter 7 Sentiment Classification with Medical Word Embeddings and Sequence Representation for Drug Reviews
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    Chapter 8 Automatic Text Classification for Label Imputation of Medical Diagnosis Notes Based on Random Forest
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    Chapter 9 An Automated Approach for Clinical Quantitative Information Extraction from Chinese Electronic Medical Records
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    Chapter 10 A New Way of Channel Selection in the Motor Imagery Classification for BCI Applications
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    Chapter 11 Mining Medical Periodic Patterns from Spatio-Temporal Trajectories
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    Chapter 12 Text Mining and Real-Time Analytics of Twitter Data: A Case Study of Australian Hay Fever Prediction
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    Chapter 13 A Data-Intensive CDSS Platform Based on Knowledge Graph
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    Chapter 14 Analysing the Impact of Electronic Health Records
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    Chapter 15 Building Applications that Matter: Co-designing with Adolescents with Autism Spectrum Disorder
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    Chapter 16 Data Fusion Network for Instance Segmentation
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    Chapter 17 Intensity Thinking as a Shared Challenge in Consumer-Targeted eHealth
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    Chapter 18 Web-Service Medical Messenger – Intelligent Algorithm of Remote Counseling
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