Big Data and Health Analytics
Katherine Marconi
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Description for Big Data and Health Analytics
Hardback. Data availability is surpassing existing paradigms for governing, managing, analysing, and interpreting health data. This volume provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery. Editor(s): Marconi, Katherine; Lehmann, Harold P. Num Pages: 382 pages, 74 black & white illustrations, 12 colour illustrations, 13 black & white tables. BIC Classification: MBPM. Category: (G) General (US: Trade); (U) Tertiary Education (US: College). Dimension: 162 x 237 x 22. Weight in Grams: 680.
Data availability is surpassing existing paradigms for governing, managing, analyzing, and interpreting health data. Big Data and Health Analytics provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health information can inform health delivery.
Written for health care professionals and executives, this is not a technical book on the use of statistics and machine-learning algorithms for extracting knowledge out of data, nor a book on the intricacies of database design. Instead, this book presents the current thinking of academic and industry researchers and leaders from around ... Read more
Product Details
Publisher
Apple Academic Press Inc.
Format
Hardback
Publication date
2014
Condition
New
Weight
703g
Number of Pages
382
Place of Publication
Oakville, Canada
ISBN
9781482229233
SKU
V9781482229233
Shipping Time
Usually ships in 4 to 8 working days
Ref
99-1
About Katherine Marconi
Harold Lehmann, M.D., Ph.D., Associate Professor and Interim Director, Division of Health Sciences Informatics School of Medicine, The Johns Hopkins University Katherine Marconi, Ph.D., MS, Professor and Director, Health Informatics Administration, The Graduate School, University of Medicine University College
Reviews for Big Data and Health Analytics
This volume targets crucial members of the teams who will be needed to unlock the potential of big data: health care and medical professionals, scientists, and their students. It engages and grounds its readers in the issues to be faced by showing how health care practitioners and organizations are linking data within and across their medical practice on scales that ... Read more