Data Driven Science for Clinically Actionable Knowledge in Diseases EPUB
Edited by Daniel Catchpoole, Simeon Simoff, Paul Kennedy, Quang Vinh Nguyen
Part of the Analytics and AI for Healthcare series
EPUB
Description
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 human-information interaction.
This edited volume covers state-of-the-art theory, method, models, design, evaluation and applications in computational and visual analytics in desktop, mobile and immersive environments for analysing biomedical and health data. The book is focused on data-driven integral analysis, including computational methods and visual analytics practices and solutions for discovering actionable knowledge in support of clinical actions in real environments.
By studying how data and visual analytics have been implemented into the healthcare domain, the book demonstrates how analytics influences the domain through improving decision making, specifying diagnostics, selecting the best treatments and generating clinical certainty.
Information
-
Download - Immediately Available
- Format:EPUB
- Pages:254 pages
- Publisher:CRC Press
- Publication Date:06/12/2023
- Category:
- ISBN:9781003801689
Information
-
Download - Immediately Available
- Format:EPUB
- Pages:254 pages
- Publisher:CRC Press
- Publication Date:06/12/2023
- Category:
- ISBN:9781003801689
