Machine Learning for Healthcare Technologies - Hardcover

Hardcover

ISBN 10: 1849199787 ISBN 13: 9781849199780

Publisher: The Institution of Engineering and Technology, 2016

Synopsis

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.

With contributions from an international panel of leading researchers, this book will find a place on the bookshelves of academic and industrial researchers and advanced students working in healthcare technologies, biomedical engineering, and machine learning.

About this title

About the Author

David Clifton is Associate Professor of Engineering Science at the University of Oxford, and a Research Fellow of the Royal Academy of Engineering. He leads the Computational Health Informatics Laboratory at the Institute of Biomedical Engineering in Oxford's Department of Engineering Science. Prof. Clifton's research focuses on the development of 'big data' machine learning for tracking the health of complex systems. He previously worked on the world's first FDA-approved multivariate patient monitoring system, and systems that are used to monitor 20,000 patients each month in the UK National Health Service.

Edition details

• Publisher: The Institution of Engineering and Technology
• Publication date: 2016
• Language: English
• ISBN 10: 1849199787
• ISBN 13: 9781849199780
• Binding: Hardcover
• Edition number: 1
• Number of pages: 320
• Editor: Clifton David A.