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R for health data science

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	R for health data scienceEwen Harrison, Riinu Pius.
作者:	Harrison, Ewen.
其他作者:	Pius, Riinu.
出版者:	Boca Raton, FL :CRC Press,2021.
面頁冊數:	1 online resource :ill.
附註:	"A Chapman & Hall book."
標題:	Bioinformatics.
電子資源:	https://www.taylorfrancis.com/books/9780367855420
ISBN:	9780367855420$q(electronic book)

R for health data science
Harrison, Ewen.

R for health data science[electronic resource] /Ewen Harrison, Riinu Pius. - 1st ed. - Boca Raton, FL :CRC Press,2021. - 1 online resource :ill.

"A Chapman & Hall book."

Includes bibliographical references 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. Features Provides an introduction to the fundamentals of R for healthcare professionals Highlights the most popular statistical approaches to health data science Written to be as accessible as possible with minimal mathematics Emphasises the importance of truly understanding the underlying data through the use of plots Includes numerous examples that can be adapted for your own data Helps you create publishable documents and collaborate across teams With this book, you are in safe hands - Prof. Harrison is a clinician and Dr. Pius is a data scientist, bringing 25 years' combined experience of using R at the coal face. This content has been taught to hundreds of individuals from a variety of backgrounds, from rank beginners to experts moving to R from other platforms.

ISBN: 9780367855420$q(electronic book)

Standard No.: 10.1201/9780367855420doiSubjects--Topical Terms:

194415
Bioinformatics.

LC Class. No.: QH324.2 / .H37 2021

Dewey Class. No.: 610.2855133

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300 $a 1 online resource : $b ill.
500 $a "A Chapman & Hall book."
504 $a Includes bibliographical references and index.
520 $a 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. Features Provides an introduction to the fundamentals of R for healthcare professionals Highlights the most popular statistical approaches to health data science Written to be as accessible as possible with minimal mathematics Emphasises the importance of truly understanding the underlying data through the use of plots Includes numerous examples that can be adapted for your own data Helps you create publishable documents and collaborate across teams With this book, you are in safe hands - Prof. Harrison is a clinician and Dr. Pius is a data scientist, bringing 25 years' combined experience of using R at the coal face. This content has been taught to hundreds of individuals from a variety of backgrounds, from rank beginners to experts moving to R from other platforms.
588 $a Description based on print version record.
650 0 $a Bioinformatics. $3 194415
650 0 $a Medical informatics. $3 196487
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