Book: Healthcare Data Analytics
Written by prominent researchers and experts working in the healthcare domain, this book provides a clear understanding of the analytical techniques currently available to solve healthcare problems.
This new book covers novel techniques and tools for acquiring, retrieving, analyzing and making use of healthcare data. It provides a comprehensive overview of healthcare analytics research and discusses recent trends and emerging technologies in the healthcare domain.
Editors: Chandan K. Reddy and Charu C. Aggarwal
Published: June 23, 2015 by Chapman and Hall/CRC Content: 760 Pages | 193 Illustrations
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 recent healthcare analytics research, Healthcare Data Analytics provides a clear understanding of the analytical techniques currently available to solve healthcare problems.
Written by prominent researchers and experts working in the healthcare domain, the book sheds light on many of the computational challenges in the field of medical informatics. Each 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 various 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, visual analytics, data integration, and information retrieval.
- Applications and Practical Systems for Healthcare - covers the applications of data analytics to pervasive healthcare, fraud detection, and drug discovery along with systems for medical imaging and decision support.
Computer scientists are usually 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 help to bring together these diverse communities by carefully and comprehensively discussing the most relevant contributions from each domain.
The table of contents and the introduction may be found at http://dmkd.cs.wayne.edu/Papers/HDA-TOC.pdf
The electronic version of the book is available at: http://www.crcnetbase.com/isbn/9781482232127
The Amazon link for the book is here