Learning and Analytics in Intelligent Systems

Machine Learning with Health Care Perspective

Machine Learning and Healthcare

Editors: Jain, Vishal, Chatterjee, Jyotir Moy (Eds.)

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  • Provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics
  • Reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area
  • Offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges
  • Presents a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics
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eBook $119.00
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  • ISBN 978-3-030-40850-3
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  • Immediate eBook download after purchase
Hardcover $159.99
price for Mexico
  • ISBN 978-3-030-40849-7
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  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $119.99
price for Mexico
  • ISBN 978-3-030-40852-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
About this book

This unique book introduces a variety of techniques designed to represent, enhance and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. Providing a unique compendium of current and emerging machine learning paradigms for healthcare informatics, it reflects the diversity, complexity, and the depth and breadth of this multi-disciplinary area. Further, it describes techniques for applying machine learning within organizations and explains how to evaluate the efficacy, suitability, and efficiency of such applications. Featuring illustrative case studies, including how chronic disease is being redefined through patient-led data learning, the book offers a guided tour of machine learning algorithms, architecture design, and applications of learning in healthcare challenges.


Table of contents (16 chapters)

Table of contents (16 chapters)
  • Machine Learning for Healthcare: Introduction

    Pages 1-25

    Gupta, Shiwani (et al.)

  • Artificial Intelligence in Medical Diagnosis: Methods, Algorithms and Applications

    Pages 27-37

    Kamdar, J. H. (et al.)

  • Intelligent Learning Analytics in Healthcare Sector Using Machine Learning

    Pages 39-55

    Guleria, Pratiyush (et al.)

  • Unsupervised Learning on Healthcare Survey Data with Particle Swarm Optimization

    Pages 57-89

    Firdaus, Hina (et al.)

  • Machine Learning for Healthcare Diagnostics

    Pages 91-105

    Kalaiselvi, K. (et al.)

Buy this book

eBook $119.00
price for Mexico
  • ISBN 978-3-030-40850-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $159.99
price for Mexico
  • ISBN 978-3-030-40849-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
Softcover $119.99
price for Mexico
  • ISBN 978-3-030-40852-7
  • Free shipping for individuals worldwide
  • Institutional customers should get in touch with their account manager
  • Covid-19 shipping restrictions
  • Usually ready to be dispatched within 3 to 5 business days, if in stock
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Bibliographic Information

Bibliographic Information
Book Title
Machine Learning with Health Care Perspective
Book Subtitle
Machine Learning and Healthcare
Editors
  • Vishal Jain
  • Jyotir Moy Chatterjee
Series Title
Learning and Analytics in Intelligent Systems
Series Volume
13
Copyright
2020
Publisher
Springer International Publishing
Copyright Holder
Springer Nature Switzerland AG
eBook ISBN
978-3-030-40850-3
DOI
10.1007/978-3-030-40850-3
Hardcover ISBN
978-3-030-40849-7
Softcover ISBN
978-3-030-40852-7
Series ISSN
2662-3447
Edition Number
1
Number of Pages
X, 415
Number of Illustrations
70 b/w illustrations, 117 illustrations in colour
Topics