Machine Learning for Healthcare Technologies (Hardcover)

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.

General

Imprint:	Institution Of Engineering And Technology
Country of origin:	United Kingdom
Series:	Healthcare Technologies
Release date:	October 2016
First published:	2017
Editors:	David A. Clifton (Associate Professor)
Dimensions:	234 x 156 x 23mm (L x W x T)
Format:	Hardcover
Pages:	320
ISBN-13:	978-1-84919-978-0
Categories:	Books > Medicine > Nursing & ancillary services > Biomedical engineering > General Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	1-84919-978-7
Barcode:	9781849199780

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