Ebook Download Healthcare Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
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Healthcare Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Ebook Download Healthcare Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
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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:
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.
Product details
Series: Chapman & Hall/CRC Data Mining and Knowledge Discovery Series (Book 36)
Hardcover: 760 pages
Publisher: Chapman and Hall/CRC; 1 edition (June 23, 2015)
Language: English
ISBN-10: 1482232111
ISBN-13: 978-1482232110
Product Dimensions:
7.2 x 1.8 x 10.2 inches
Shipping Weight: 3.2 pounds (View shipping rates and policies)
Average Customer Review:
4.6 out of 5 stars
3 customer reviews
Amazon Best Sellers Rank:
#336,676 in Books (See Top 100 in Books)
Great material for my course.
This is an excellent text but the title is slightly misleading. The foreword advertises the book as something that can help bridge the gap between statistically trained and medically trained professionals who are working in or use health care data analytics. I cannot say the book completely fills that gap but it is still a useful text.What the book really is is a qualitative survey of all the ways modern data collection can influence healthcare, from sensors to the internet. Each of the chapters is written by experts in a particular discipline who summarize the current state of knowledge and provide citations for further research.What the book does not contain is any math or, for that matter, analytics. There is a brief chapter summarizing clinical prediction models but the math covered is the same as would be covered in chapter one of any graduate statistics text.Once you understand the intent of the book I could see it being used as a textbook in a graduate level healthcare data analytics course but it would have to be supplemented with a text that covers the various analytic techniques used by health care data analysts.As for self-study if you are interested in learning what is the state of the literature on a wide variety of health care data topics and their applications then the book would be worth purchasing. I can't believe there are many people, however, who have such an interest.In short, recommended but to a select group of readers.
Excellent book for Healthcare Analytics course. This covers different aspects in analytics depend on healthcare players.Provide details on EMR data formats and their classification. Also for a new person, advance methods for predictions and visualization are discussed in detail.
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