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Books > Business & Economics > Economics
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Healthcare Data Analytics (Paperback)
Loot Price: R1,601
Discovery Miles 16 010
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Healthcare Data Analytics (Paperback)
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series
Expected to ship within 12 - 19 working days
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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. 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.
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