Machine Learning for Healthcare Technologies

Name: Machine Learning for Healthcare Technologies
Brand: Institution of Engineering & Technology
SKU: 9781849199780
Price: 12716.0 INR
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by David A. Clifton

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ISBN13: 9781849199780
Binding: Hardcover
Subject: N/A
Publisher: Institution of Engineering & Technology
Publisher Imprint: Institution of Engineering & Technology
Publication Date: October 28, 2016
Pages: 320
Original Price: GBP 100.0
Language: English
Edition: N/A
Item Weight: 590 grams
BISAC Subject(s): Allied Health Services / Medical Technology, Information Technology, and Biotechnology

About The Book

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 The Author

Clifton, David A.: -

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.

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