Computational Intelligence Techniques in Health Care

  • P.V. Lakshmi
  • Wengang Zhou
  • P Satheesh

Part of the SpringerBriefs in Applied Sciences and Technology book series (BRIEFSAPPLSCIENCES)

Also part of the Springer Briefs in Forensic and Medical Bioinformatics book sub series (BRIEFSFOMEBI)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Gumpeny Ramachandra Sridhar, Gumpeny Lakshmi
    Pages 1-18
  3. Seema Kumari, Anil Badana, V Gayatridevi, P Nagaseshu, M Varalakshmi, Rama Rao Malla
    Pages 19-30
  4. G. Nirmala, Y. B. Adimulam, P. Seetharamaiah
    Pages 45-59
  5. Lakshmi Naga Jayaprada Gavarraju, Jeevana Jyothi Pujari, K. Karteeka Pavan
    Pages 69-81

About this book


This book presents research on emerging computational intelligence techniques and tools, with a particular focus on new trends and applications in health care. Healthcare is a multi-faceted domain, which incorporates advanced decision-making, remote monitoring, healthcare logistics, operational excellence and modern information systems. In recent years, the use of computational intelligence methods to address the scale and the complexity of the problems in healthcare has been investigated. This book discusses various computational intelligence methods that are implemented in applications in different areas of healthcare. It includes contributions by practitioners, technology developers and solution providers.


Data mining Machine learning algorithms Evolutionary algorithms Soft computing methods Decision support systems DNA Microarray analysis CI in healthcare

Editors and affiliations

  • P.V. Lakshmi
    • 1
  • Wengang Zhou
    • 2
  • P Satheesh
    • 3
  1. 1.Dept Of ITGIT, GITAM UniversityVisakhapatnamIndia
  2. 2.DuPont PioneerJohnstonUSA
  3. 3.MVGR CollegeVizianagaramIndia

Bibliographic information

  • DOI
  • Copyright Information The Author(s) 2016
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-981-10-0307-3
  • Online ISBN 978-981-10-0308-0
  • Series Print ISSN 2191-530X
  • Series Online ISSN 2191-5318
  • Buy this book on publisher's site