Machine Learning in Healthcare Informatics

  • Sumeet Dua
  • U. Rajendra Acharya
  • Prerna Dua

Part of the Intelligent Systems Reference Library book series (ISRL, volume 56)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Pradeep Chowriappa, Sumeet Dua, Yavor Todorov
    Pages 1-23
  3. Roshan Joy Martis, Chandan Chakraborty, Ajoy Kumar Ray
    Pages 25-45
  4. Roshan Joy Martis, Hari Prasad, Chandan Chakraborty, Ajoy Kumar Ray
    Pages 65-80
  5. Myagmarbayar Nergui, Jun Inoue, Murai Chieko, Wenwei Yu, U. Rajendra Acharya
    Pages 113-129
  6. Dinggang Shen, Chong-Yaw Wee, Daoqiang Zhang, Luping Zhou, Pew-Thian Yap
    Pages 147-179
  7. Mu Zhu, Lu Cheng, Joshua J. Armstrong, Jeff W. Poss, John P. Hirdes, Paul Stolee
    Pages 181-207
  8. Walter F. Stewart, Jason Roy, Jimeng Sun, Shahram Ebadollahi
    Pages 209-227
  9. Ashwin Belle, Soo-Yeon Ji, Wenan Chen, Toan Huynh, Kayvan Najarian
    Pages 229-259
  10. Samanta Rosati, Gabriella Balestra, Filippo Molinari, U. Rajendra Acharya, Jasjit S. Suri
    Pages 309-332

About this book


The book is a unique effort to represent a variety of techniques designed to represent, enhance, and empower multi-disciplinary and multi-institutional machine learning research in healthcare informatics. The book provides a unique compendium of current and emerging machine learning paradigms for healthcare informatics and reflects the diversity, complexity and the depth and breath of this multi-disciplinary area. The integrated, panoramic view of data and machine learning techniques can provide an opportunity for novel clinical insights and discoveries.


Algorithm Design Computational Clinical Decision Support Data Mining Healthcare Informatics Intelligent Systems Machine Learning

Editors and affiliations

  • Sumeet Dua
    • 1
  • U. Rajendra Acharya
    • 2
  • Prerna Dua
    • 3
  1. 1.Department of Computer ScienceLouisiana Tech UniversityRustonUSA
  2. 2.Ngee Ann PolytechnicSingaporeSingapore
  3. 3.Department of Health Informatics and Information ManagementLouisiana Tech UniversityRustonUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-3-642-40016-2
  • Online ISBN 978-3-642-40017-9
  • Series Print ISSN 1868-4394
  • Series Online ISSN 1868-4408
  • Buy this book on publisher's site