Healthcare Data Analytics
eBook - PDF

Healthcare Data Analytics

Chandan K. Reddy, Charu C. Aggarwal, Chandan K. Reddy, Charu C. Aggarwal

  1. 760 pages
  2. English
  3. PDF
  4. Available on iOS & Android
eBook - PDF

Healthcare Data Analytics

Chandan K. Reddy, Charu C. Aggarwal, Chandan K. Reddy, Charu C. Aggarwal

Book details
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Table of contents
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About This Book

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available

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Yes, you can access Healthcare Data Analytics by Chandan K. Reddy, Charu C. Aggarwal, Chandan K. Reddy, Charu C. Aggarwal in PDF and/or ePUB format, as well as other popular books in Economia & Statistiche per il settore aziendale ed economico. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Chapman and Hall/CRC
Year
2015
ISBN
9781482232127
Edition
1
Topic
Economia
Subtopic
Statistiche per il settore aziendale ed economico
Chapter
1
An
Introduction
to
Healthcare
Data
Analytics
Chandan
K.
Reddy
Department
of
Computer
Science
Wayne
State
University
Detroit,
MI
[email protected]
Charu
C.
Aggarwal
IBM
T.
J.
Watson
Research
Center
Yorktown
Heights,
NY
[email protected]
1.1
Introduction
......................................................................
2
1.2
Healthcare
Data
Sources
and
Basic
Analytics
......................................
5
1.2.1
Electronic
Health
Records
................................................
5
1.2.2
Biomedical
Image
Analysis
...............................................
5
1.2.3
Sensor
Data
Analysis
.....................................................
6
1.2.4
Biomedical
Signal
Analysis
...............................................
6
1.2.5
Genomic
Data
Analysis
...................................................
6
1.2.6
Clinical
Text
Mining
.....................................................
7
1.2.7
Mining
Biomedical
Literature
.............................................
8
1.2.8
Social
Media
Analysis
....................................................
8
1.3
Advanced
Data
Analytics
for
Healthcare
...........................................
9
1.3.1
Clinical
Prediction
Models
................................................
9
1.3.2
Temporal
Data
Mining
....................................................
9
1.3.3
Visual
Analytics
..........................................................
10
1.3.4
Clinico–Genomic
Data
Integration
........................................
10
1.3.5
Information
Retrieval
.....................................................
11
1.3.6
Privacy-Preserving
Data
Publishing
.......................................
11
1.4
Applications
and
Practical
Systems
for
Healthcare
.................................
12
1.4.1
Data
Analytics
for
Pervasive
Health
.......................................
12
1.4.2
Healthcare
Fraud
Detection
...............................................
12
1.4.3
Data
Analytics
for
Pharmaceutical
Discoveries
............................
13
1.4.4
Clinical
Decision
Support
Systems
........................................
13
1.4.5
Computer-Aided
Diagnosis
...............................................
14
1.4.6
Mobile
Imaging
for
Biomedical
Applications
..............................
14
1.5
Resources
for
Healthcare
Data
Analytics
...........................................
14
1.6
Conclusions
......................................................................
15
Bibliography
.....................................................................
15
1

Table of contents

  1. Cover
  2. Contents
  3. Editor Biographies
  4. Contributors
  5. Preface
  6. Chapter 1: An Introduction to Healthcare Data Analytics
  7. Part I: Healthcare Data Sources and Basic Analytics
  8. Chapter 2: Electronic Health Records: A Survey
  9. Chapter 3: Biomedical Image Analysis
  10. Chapter 4: Mining of Sensor Data in Healthcare: A Survey
  11. Chapter 5: Biomedical Signal Analysis
  12. Chapter 6: Genomic Data Analysis for Personalized Medicine
  13. Chapter 7: Natural Language Processing and Data Mining for Clinical Text
  14. Chapter 8: Mining the Biomedical Literature
  15. Chapter 9: Social Media Analytics for Healthcare
  16. Part II: Advanced Data Analytics for Healthcare
  17. Chapter 10: A Review of Clinical Prediction Models
  18. Chapter 11: Temporal Data Mining for Healthcare Data
  19. Chapter 12: Visual Analytics for Healthcare
  20. Chapter 13: Predictive Models for Integrating Clinical and Genomic Data
  21. Chapter 14: Information Retrieval for Healthcare
  22. Chapter 15: Privacy-Preserving Data Publishing Methods in Healthcare
  23. Part III: Applications and Practical Systems for Healthcare
  24. Chapter 16: Data Analytics for Pervasive Health
  25. Chapter 17: Fraud Detection in Healthcare
  26. Chapter 18: Data Analytics for Pharmaceutical Discoveries
  27. Chapter 19: Clinical Decision Support Systems
  28. Chapter 20: Computer-Assisted Medical Image Analysis Systems
  29. Chapter 21: Mobile Imaging and Analytics for Biomedical Data
  30. Color Inserts
  31. Back Cover