Machine learning in heart failure: ready for prime time

Machine learning in heart failure: ready for prime time Purpose of reviewThe aim of this review is to present an up-to-date overview of the application of machine learning methods in heart failure including diagnosis, classification, readmissions and medication adherence.Recent findingsRecent studies have shown that the application of machine learning techniques may have the potential to improve heart failure outcomes and management, including cost savings by improving existing diagnostic and treatment support systems. Recently developed deep learning methods are expected to yield even better performance than traditional machine learning techniques in performing complex tasks by learning the intricate patterns hidden in big medical data.SummaryThe review summarizes the recent developments in the application of machine and deep learning methods in heart failure management. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Current Opinion in Cardiology Wolters Kluwer Health

Machine learning in heart failure: ready for prime time

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Publisher
Wolters Kluwer
Copyright
Copyright © 2018 Wolters Kluwer Health, Inc. All rights reserved.
ISSN
0268-4705
eISSN
1531-7080
D.O.I.
10.1097/HCO.0000000000000491
Publisher site
See Article on Publisher Site

Abstract

Purpose of reviewThe aim of this review is to present an up-to-date overview of the application of machine learning methods in heart failure including diagnosis, classification, readmissions and medication adherence.Recent findingsRecent studies have shown that the application of machine learning techniques may have the potential to improve heart failure outcomes and management, including cost savings by improving existing diagnostic and treatment support systems. Recently developed deep learning methods are expected to yield even better performance than traditional machine learning techniques in performing complex tasks by learning the intricate patterns hidden in big medical data.SummaryThe review summarizes the recent developments in the application of machine and deep learning methods in heart failure management.

Journal

Current Opinion in CardiologyWolters Kluwer Health

Published: Mar 1, 2018

References

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