Healthcare Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)

Amazon.com Price: $73.31 (as of 11/10/2019 10:49 PST- Details)

Description

At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disciplines. Supplying a comprehensive overview of up to date healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently to be had to solve healthcare problems.

The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes up to date developments in healthcare computing and discusses emerging technologies that may lend a hand support the health and well-being of patients.

Written by prominent researchers and experts working in the healthcare domain, the book sheds light on the various computational challenges in the field of medical informatics. Every chapter in the book is structured as a “survey-style” article discussing the prominent research issues and the advances made on that research topic. The book is divided into three major categories:

  • Healthcare Data Sources and Basic Analytics – details the quite a lot of healthcare data sources and analytical techniques used in the processing and analysis of such data
  • Advanced Data Analytics for Healthcare – covers advanced analytical methods, including clinical prediction models, temporal pattern mining methods, and visual analytics
  • Applications and Practical Systems for Healthcare – covers the applications of data analytics to pervasive healthcare, fraud detection, and drug discovery together with systems for medical imaging and decision support

Computer scientists are frequently not trained in domain-specific medical concepts, whereas medical practitioners and researchers have limited exposure to the data analytics area. The contents of this book will lend a hand to bring together these diverse communities by carefully and comprehensively discussing the most relevant contributions from Every domain.


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