Machine Learning For Healthcare Technologies

This book provides a snapshot of the state of current research at the interface between machine learning and healthcare with special emphasis on machine learning projects that are (or are close to) achieving improvement in patient outcomes. The book provides overviews on a range of technologies including detecting artefactual events in vital signs monitoring data; patient physiological monitoring; tracking infectious disease; predicting antibiotic resistance from genomic data; and managing chronic disease.

• | Author: David A. Clifton, David A. Clifton
• | Publisher: The Institution Of Engineering And Technology
• | Publication Date: Oct 28, 2016
• | Number of Pages: 316 pages
• | Language: English
• | Binding: Hardcover
• | ISBN-10: 1849199787
• | ISBN-13: 9781849199780