Analytics and AI for Healthcare
About the Book Series
Artificial Intelligence (AI) and analytics are increasingly being applied to various healthcare settings. AI and analytics are salient to facilitate better understanding and identifying key insights from healthcare data in many areas of practice and enquiry in healthcare including at the genomic, individual, hospital, community and/or population levels.
The Chapman&Hall/CRC Press Analytics and AI in Healthcare Series aims to help professionals upskill and leverage the techniques, tools, technologies and tactics of analytics and AI to achieve better healthcare delivery, access and outcomes.
The series covers all areas of analytics and AI as applied to healthcare. It will look at critical areas including: prevention, prediction, diagnosis, treatment, monitoring, rehabilitation and survivorship.
If you are interested in contributing your work, please send us your book proposals:
Series Editor
Nilmini Wickramasinghe
[email protected]
Chapman&Hall/CRC Editor
George Knott
[email protected]
Data Driven Science for Clinically Actionable Knowledge in Diseases
1st Edition
Edited
By Daniel Catchpoole, Simeon Simoff, Paul Kennedy, Quang Vinh Nguyen
December 06, 2023
Data-driven science has become a major decision-making aid for the diagnosis and treatment of disease. Computational and visual analytics enables effective exploration and sense making of large and complex data through the deployment of appropriate data science methods, meaningful visualisation and...
Data Analysis in Medicine and Health using R
1st Edition
By Kamarul Imran Musa, Wan Nor Arifin Wan Mansor, Tengku Muhammad Hanis
September 12, 2023
Data analysis plays a vital role in guiding medical treatment plans, patient care, and the formulation of control and prevention policies in the field of healthcare. In today's era, researchers in these domains require a firm grasp of data, statistical concepts, and programming skills due to the ...