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R for Health Data Science / by Ewen Harrison and Riinu Pius

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Boca Raton : CRC Press, 2021Description: xviii, 344p. : ill. ; 24 cmISBN:
  • 9781032940274
Subject(s): Other classification:
  • B28,92R R1
Summary: In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare. From the understanding of disease and the development of new treatments, to the diagnosis and management of individual patients, the use of data and technology is now an integral part of the business of healthcare. Those working in healthcare interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high-quality patient care. R for Health Data Science includes everything a healthcare professional needs to go from R novice to R guru. By the end of this book, you will be taking a sophisticated approach to health data science with beautiful visualisations, elegant tables, and nuanced analyses. In The Box
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Item type Current library Home library Call number Status Barcode
Textual Textual Central Science Library Central Science Library B28,92R R1 (Browse shelf(Opens below)) Available SL1655947

Includes Bibliography and Index



In this age of information, the manipulation, analysis, and interpretation of data have become a fundamental part of professional life; nowhere more so than in the delivery of healthcare. From the understanding of disease and the development of new treatments, to the diagnosis and management of individual patients, the use of data and technology is now an integral part of the business of healthcare. Those working in healthcare interact daily with data, often without realising it. The conversion of this avalanche of information to useful knowledge is essential for high-quality patient care. R for Health Data Science includes everything a healthcare professional needs to go from R novice to R guru. By the end of this book, you will be taking a sophisticated approach to health data science with beautiful visualisations, elegant tables, and nuanced analyses.

In The Box

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