Data Analytics In Medicine
Download Data Analytics In Medicine full books in PDF, epub, and Kindle. Read online free Data Analytics In Medicine ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Data Analytics in Medicine
| Author | : Information Resources Management Association |
| Publisher | : Medical Information Science Reference |
| Total Pages | : 2250 |
| Release | : 2019-11-18 |
| Genre | : |
| ISBN | : 9781799812043 |
Download Data Analytics in Medicine Book in PDF, Epub and Kindle
""This book examines practical applications of healthcare analytics for improved patient care, resource allocation, and medical performance, as well as for diagnosing, predicting, and identifying at-risk populations"--
Data Analytics in Medicine Related Books
Language: en
Pages: 2250
Pages: 2250
Type: BOOK - Published: 2019-11-18 - Publisher: Medical Information Science Reference
""This book examines practical applications of healthcare analytics for improved patient care, resource allocation, and medical performance, as well as for diag
Language: en
Pages: 756
Pages: 756
Type: BOOK - Published: 2015-06-23 - Publisher: CRC Press
At the intersection of computer science and healthcare, data analytics has emerged as a promising tool for solving problems across many healthcare-related disci
Language: en
Pages: 340
Pages: 340
Type: BOOK - Published: 2018-11-15 - Publisher: Academic Press
Healthcare Data Analytics and Management help readers disseminate cutting-edge research that delivers insights into the analytic tools, opportunities, novel str
Language: en
Pages: 374
Pages: 374
Type: BOOK - Published: 2014-12-20 - Publisher: CRC Press
This book provides frameworks, use cases, and examples that illustrate the role of big data and analytics in modern health care, including how public health inf
Language: en
Pages: 187
Pages: 187
Type: BOOK - Published: 2019-10-01 - Publisher: Springer Nature
This book includes state-of-the-art discussions on various issues and aspects of the implementation, testing, validation, and application of big data in the con
