Author | Ewen Harrison |
Publisher | CRC Press |
Release Date | 2020-12-31 |
ISBN | 1000226166 |
Pages | 346 pages |
Rating | 4/5 (64 users) |
More Books:
Language: en
Pages: 346
Pages: 346
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
Language: en
Pages: 222
Pages: 222
Students and researchers in the health sciences are faced with greater opportunity and challenge than ever before. The opportunity stems from the explosion in p
Language: en
Pages: 344
Pages: 344
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
Language: en
Pages: 86
Pages: 86
This book highlights a timely and accurate insight at the endeavour of the bioinformatics and genomics clinicians from industry and academia to address the soci
Language: en
Pages: 100
Pages: 100
This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, e
Language: en
Pages: 583
Pages: 583
Analyzing data sets has continued to be an invaluable application for numerous industries. By combining different algorithms, technologies, and systems used to
Language: en
Pages: 367
Pages: 367
This book seeks to promote the exploitation of data science in healthcare systems. The focus is on advancing the automated analytical methods used to extract ne
Language: en
Pages: 325
Pages: 325
The aim of this book is to provide an internationally respected collection of scientific research methods, technologies and applications in the area of data sci
Language: en
Pages: 624
Pages: 624
Over recent years there has been major investment in research infrastructure to harness the potential of routinely collected health data. In 2013, The Farr Inst
Language: en
Pages: 256
Pages: 256
Federal Data Science serves as a guide for federal software engineers, government analysts, economists, researchers, data scientists, and engineering managers i