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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 Telehealth Strategies and Information Technology Transform Patient Care within the U.S. Department of Veterans Affairs
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    Chapter 2 From Clinical Data to Knowledge Mining for Decision Making within Hospitals
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    Chapter 3 Building Socioemotional Environments in Metaverses for Virtual Teams in Healthcare: A Conceptual Exploration
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    Chapter 4 Integrating Healthcare-Related Information Using the Entity-Attribute-Value Storage Model
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    Chapter 5 Median Polish with Power Transformations as an Alternative for the Analysis of Contingency Tables with Patient Data
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    Chapter 6 An Integrated Approach for Healthcare Planning over Multi-dimensional Data Using Long-Term Prediction
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    Chapter 7 A Novel Automated Recognition System Based on Medical Machining CAD Models
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    Chapter 8 Challenges and Opportunities for Health Information Systems Research
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    Chapter 9 E-health in Australia – A General Practitioner’s Perspective
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    Chapter 10 Medical Devices: Panel Discussion
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    Chapter 11 Color Image Sharing Method Based on Lagrange’s Interpolating Polynomial
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    Chapter 12 Automation in Cytomics: A Modern RDBMS Based Platform for Image Analysis and Management in High-Throughput Screening Experiments
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    Chapter 13 Health Information Science
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    Chapter 14 Normalized Cut Segmentation of Thyroid Tumor Image Based on Fractional Derivatives
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    Chapter 15 Health Information Science
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    Chapter 16 A New Classification Method for Human Gene Splice Site Prediction
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    Chapter 17 Health Information Science
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    Chapter 18 Analysis of Nursery School Observations for Understanding Children’s Behavior
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    Chapter 19 Epidemic Outbreak and Spread Detection System Based on Twitter Data
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    Chapter 20 A Lightweight Approach for Extracting Disease-Symptom Relation with MetaMap toward Automated Generation of Disease Knowledge Base
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    Chapter 21 Health Information Science
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Title
Health Information Science
Published by
Springer Berlin Heidelberg, January 2012
DOI 10.1007/978-3-642-29361-0
ISBNs
978-3-64-229360-3, 978-3-64-229361-0
Authors

He, Jing, Liu, Xiaohui, Krupinski, Elizabeth A, Xu, Guandong

Editors

Jing He, Xiaohui Liu, Elizabeth A. Krupinski, Guandong Xu

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 38%
Student > Master 2 25%
Student > Bachelor 1 13%
Unknown 2 25%
Readers by discipline Count As %
Engineering 2 25%
Agricultural and Biological Sciences 2 25%
Social Sciences 1 13%
Computer Science 1 13%
Unknown 2 25%