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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 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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Title
Health Information Science
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-030-01078-2
ISBNs
978-3-03-001077-5, 978-3-03-001078-2
Editors

Siuly, Ickjai Lee, Zhisheng Huang, Rui Zhou, Hua Wang, Wei Xiang

X Demographics

X Demographics

The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 40%
Researcher 2 20%
Lecturer 1 10%
Student > Ph. D. Student 1 10%
Unknown 2 20%
Readers by discipline Count As %
Computer Science 5 50%
Arts and Humanities 1 10%
Engineering 1 10%
Unknown 3 30%