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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Vydáno v:	Heart (British Cardiac Society) Ročník 109; číslo Suppl 3; s. A297 - A298
Hlavní autoři:	Ihekwaba, Ugochukwu, Bennasar, Mohamed, Johnson, Nicholas, Price, Blaine, Oke, Jason, Khoo, Jeffery, Squire, Iain, Kardos, Attila
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	London BMJ Publishing Group Ltd and British Cardiovascular Society 01.06.2023 BMJ Publishing Group LTD
Témata:	artificial intelligence Basic Science Cardiovascular disease Diabetes Feature selection Machine learning Patients predictive algorithm Variables
ISSN:	1355-6037, 1468-201X
On-line přístup:	Získat plný text
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