Pattern and Data Analysis in Healthcare Settings

Nonfiction, Computers, Advanced Computing, Engineering, Computer Vision, Database Management, General Computing
Cover of the book Pattern and Data Analysis in Healthcare Settings by , IGI Global
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Author: ISBN: 9781522505389
Publisher: IGI Global Publication: July 22, 2016
Imprint: Medical Information Science Reference Language: English
Author:
ISBN: 9781522505389
Publisher: IGI Global
Publication: July 22, 2016
Imprint: Medical Information Science Reference
Language: English
Business and medical professionals rely on large data sets to identify trends or other knowledge that can be gleaned from the collection of it. New technologies concentrate on data’s management, but do not facilitate users’ extraction of meaningful outcomes. Pattern and Data Analysis in Healthcare Settings investigates the approaches to shift computing from analysis on-demand to knowledge on-demand. By providing innovative tactics to apply data and pattern analysis, these practices are optimized into pragmatic sources of knowledge for healthcare professionals. This publication is an exhaustive source for policy makers, developers, business professionals, healthcare providers, and graduate students concerned with data retrieval and analysis.
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Business and medical professionals rely on large data sets to identify trends or other knowledge that can be gleaned from the collection of it. New technologies concentrate on data’s management, but do not facilitate users’ extraction of meaningful outcomes. Pattern and Data Analysis in Healthcare Settings investigates the approaches to shift computing from analysis on-demand to knowledge on-demand. By providing innovative tactics to apply data and pattern analysis, these practices are optimized into pragmatic sources of knowledge for healthcare professionals. This publication is an exhaustive source for policy makers, developers, business professionals, healthcare providers, and graduate students concerned with data retrieval and analysis.

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