000			02617nam a22002177a 4500
005			20240219135554.0
008			240219b |||||||| |||| 00| 0 eng d
020			_a9781032527802
082			_a610.21 _bRED
245			_aHealthcare data analytics
260			_bCRC Press _aNew York _c2023
300			_axxviii, 724 p.
365			_aINR _b2195.00
490			_aChapman & Hall/CRC Data Mining and Knowledge Discovery Series
520			_aAt 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. The book details novel techniques for acquiring, handling, retrieving, and making best use of healthcare data. It analyzes recent developments in healthcare computing and discusses emerging technologies that can help improve the health and well-being of patients. 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, and visual analytics 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. (https://standardsmedia.com/Healthcare-Data-Analytics-10989-book.html)
650			_aData mining _913331
650			_aStatistics _915518
700			_aReddy, Chandan K. _914406
700			_aAggarwal, Charu C. _916082
942			_cBK _2ddc
999			_c6153 _d6153