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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 Software for Full-Color 3D Reconstruction of the Biological Tissues Internal Structure
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    Chapter 2 Epileptic Seizure Detection Using EEGs Based on Kernel Radius of Intrinsic Mode Functions
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    Chapter 3 Some Directions of Medical Informatics in Russia
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    Chapter 4 A Computer Simulation Approach to Reduce Appointment Lead-Time in Outpatient Perinatology Departments: A Case Study in a Maternal-Child Hospital
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    Chapter 5 Engaging Patients, Empowering Doctors in Digitalization of Healthcare
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    Chapter 6 Developing a Tunable Q-Factor Wavelet Transform Based Algorithm for Epileptic EEG Feature Extraction
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    Chapter 7 Granular Computing Combined with Support Vector Machines for Diagnosing Erythemato-Squamous Diseases
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    Chapter 8 A Semantically-Enabled System for Inflammatory Bowel Diseases
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    Chapter 9 Early Classification of Multivariate Time Series Based on Piecewise Aggregate Approximation
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    Chapter 10 A Data-Driven Approach for Discovering the Recent Research Status of Diabetes in China
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    Chapter 11 Generation of Semantic Patient Data for Depression
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    Chapter 12 Analyses of the Dual Immune Roles Cytokines Play in Ischemic Stroke
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    Chapter 13 Multidimensional Analysis Framework on Massive Data of Observations of Daily Living
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    Chapter 14 Numerical Modeling of the Internal Temperature in the Mammary Gland
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    Chapter 15 Research on Multidimensional Modelling for Personal Health Record
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    Chapter 16 Constructing Knowledge Graphs of Depression
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    Chapter 17 Constructing Three-Dimensional Models for Surgical Training Simulators
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    Chapter 18 A Framework for Automated Knowledge Graph Construction Towards Traditional Chinese Medicine
Attention for Chapter 5: Engaging Patients, Empowering Doctors in Digitalization of Healthcare
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Citations

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13 Mendeley
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Chapter title
Engaging Patients, Empowering Doctors in Digitalization of Healthcare
Chapter number 5
Book title
Health Information Science
Published by
Springer, Cham, October 2017
DOI 10.1007/978-3-319-69182-4_5
Book ISBNs
978-3-31-969181-7, 978-3-31-969182-4
Authors

Nikita Shklovsky-Kordi, Boris Zingerman, Michael Shifrin, Rostislav Borodin, Tatiana Shestakova, Andrei Vorobiev

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 %
Researcher 4 31%
Student > Doctoral Student 2 15%
Student > Ph. D. Student 1 8%
Student > Master 1 8%
Unknown 5 38%
Readers by discipline Count As %
Computer Science 5 38%
Mathematics 1 8%
Business, Management and Accounting 1 8%
Nursing and Health Professions 1 8%
Unknown 5 38%