Handbook on Intelligent Healthcare Analytics by Dhiya Al-Jumeily
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Handbook on Intelligent Healthcare Analytics

Handbook on Intelligent Healthcare Analytics


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International Edition


About the Book

A Handbook on Intelligent Healthcare Analytics covers both the theory and application of tools, techniques, algorithms for the use of big data in healthcare and clinical research. The book provides the most recent research findings to derive knowledge using big data analytics which helps to analyze huge amounts of real-time healthcare data. The analysis of such healthcare data can provide further insights in terms of procedural, technical, medical and other types of improvements in healthcare which derives knowledge from the data set. This book provides the various algorithms which support the clinical decision support system and also explores various platforms for health care.


About the Author:

A. Jaya PhD, Professor in the Department of Computer Applications, B. S. Abdur Rahman Crescent Institute of Science and Technology, India. She published more than 90 research articles in international journals

K. Kalaiselvi PhD, is a Professor and Head in the Department of Computer Science, School of Computing Sciences, Vels Institute of Science, Technology and Advanced Studies, Chennai, India. She has published more than 50 research articles in international journals

Dinesh Goyal PhD, is Principal at the Poornima Institute of Engineering & Technology, Jaipur, India. He has 6 patents published & as well as 6 books and numerous articles.

Dhiya Al-Jumeily PhD, is a professor of Artificial Intelligence and the Associate Dean of External Engagement for the Faculty of Engineering and Technology, Liverpool John Moores University, UK. He has published well over 200 peer reviewed scientific publications, 6 books and 5 book chapters. But his current research are is decision support systems for self-management of health and disease.


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Product Details
  • ISBN-13: 9781119791799
  • Publisher: Wiley
  • Publisher Imprint: Wiley-Scrivener
  • Height: 239 mm
  • No of Pages: 448
  • Series Title: Machine Learning in Biomedical Science and Healthcare Informatics
  • Sub Title: Knowledge Engineering with Big Data
  • Width: 160 mm
  • ISBN-10: 1119791790
  • Publisher Date: 06 Jan 2022
  • Binding: Hardback
  • Language: English
  • Returnable: Y
  • Spine Width: 31 mm
  • Weight: 818 gr


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