A NEURAL NETWORK APPROACH TO PREDICTING OUTCOMES IN HEART FAILURE USING CARDIOPULMONARY EXERCISE TESTING

Artificial neural networks (ANN) use weighted inputs in multiple layers of mathematical connections in order to predict outcomes from multiple risk markers.

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Bibliographic Details
Published in:Journal of the American College of Cardiology 2013-03, Vol.61 (10), p.E1415-E1415
Main Authors: Arena, Ross, Myers, Jonathan N, de Souza, Cesar Roberto, Borghi Silva, Audrey, Guazzi, Marco, Chase, Paul, Bensimhon, Daniel, Ann Peberdy, Mary, Ashley, Euan, West, Erin, Cahalin, Lawrence, Forman, Daniel
Format: Article
Language:English
Subjects:
Cardiology
Cardiovascular
Heart failure
Internal Medicine
Mortality
Neural networks
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Description
Summary:Artificial neural networks (ANN) use weighted inputs in multiple layers of mathematical connections in order to predict outcomes from multiple risk markers.
ISSN:0735-1097
1558-3597
DOI:10.1016/S0735-1097(13)61415-1