BS72 Accuracy of machine learning techniques to predict stress echocardiography results using clinical variables

BackgroundStress echocardiography is a well-established diagnostic prognostic modality with good predictive power in patient with suspected coronary artery disease (CAD). Cardiovascular risk factors are used in the assessment of the probability of CAD. The link between the outcome of stress echocard...

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Bibliographic Details

Published in:	Heart (British Cardiac Society) Vol. 109; no. Suppl 3; pp. A297 - A298
Main Authors:	Ihekwaba, Ugochukwu, Bennasar, Mohamed, Johnson, Nicholas, Price, Blaine, Oke, Jason, Khoo, Jeffery, Squire, Iain, Kardos, Attila
Format:	Journal Article
Language:	English
Published:	London BMJ Publishing Group Ltd and British Cardiovascular Society 01.06.2023 BMJ Publishing Group LTD
Subjects:	artificial intelligence Basic Science Cardiovascular disease Diabetes Feature selection Machine learning Patients predictive algorithm Variables
ISSN:	1355-6037, 1468-201X
Online Access:	Get full text
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