Diagnostic Applications of Health Intelligence and Surveillance Systems

Diagnostic Applications of Health Intelligence and Surveillance Systems

Divakar Yadav, Abhay Bansal, Madhulika Bhatia, Madhurima Hooda, Jorge Morato
Indexed In: SCOPUS
Release Date: January, 2021|Copyright: © 2021 |Pages: 332
DOI: 10.4018/978-1-7998-6527-8
ISBN13: 9781799865278|ISBN10: 1799865274|EISBN13: 9781799865285
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Description & Coverage
Description:

Health surveillance and intelligence play an important role in modern health systems as more data must be collected and analyzed. It is crucial that this data is interpreted and analyzed effectively and efficiently in order to assist with diagnoses and predictions.

Diagnostic Applications of Health Intelligence and Surveillance Systems is an essential reference book that examines recent studies that are driving artificial intelligence in the health sector and helping practitioners to predict and diagnose diseases. Chapters within the book focus on health intelligence and how health surveillance data can be made useful and meaningful. Covering topics that include computational intelligence, data analytics, mobile health, and neural networks, this book is crucial for healthcare practitioners, IT specialists, academicians, researchers, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Computational Intelligence
  • Data Analytics
  • Decision Support Systems
  • eHealth
  • Health Intelligence
  • Internet of Things
  • mHealth
  • Neural Networks
  • Personalized Health
  • Precision Therapy
  • Public Health
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Editor/Author Biographies

Divakar Yadav is presently working as an Associate Professor at NIT, HAMIRPUR, Gorakhpur. Prior to Join MMMUT he worked at Jaypee Institute of Information Technology, Noida from 2005 to 2016 as Associate Professor. He did his B.Tech. in Computer Sc. & Engg., M.Tech. in Information Technology, PhD in Computer Science & Engineering. He spent one year 2011-2012 at University of Carlos-III as Post Doc Fellow. He guided 4 PhD scholars and 17 M.Tech. dissertations. His research interests are Information Retrieval, Soft-computing, Machine Learning and Data Mining. He published more than 70 research papers in reputed International journals and conferences. He is also reviewer/committee member of various International Journals and Conferences.

Jorge Morato is a professor of Information Science in the Computer Sc. Dept. at Carlos III University of Madrid, in 1999 he obtained a PhD in Library Science from the same university. He is head of the research group GigaBD. He is principal investigator of the National R&D program with a project about readability on the Web, and PI of several projects in biomedicine (e.g. CIE-10). Besides, he has collaborated in several international and European projects. He is the author of more than one hundred publications, thirty of them indexed in ISI and Scopus. His field of research is knowledge organization, linguistics, and information publication and retrieval on the Web.

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