This paper is in the following e-collection/theme issue:

Coronary Heart Disease (81) Clinical Information and Decision Making (1434) Machine Learning (1501) Cardiac Risk and Cardiac Risk Calculators (47)

Published on in Vol 4, No 1 (2020): Jan-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16975, first published .
Minimal Patient Clinical Variables to Accurately Predict Stress Echocardiography Outcome: Validation Study Using Machine Learning Techniques

Minimal Patient Clinical Variables to Accurately Predict Stress Echocardiography Outcome: Validation Study Using Machine Learning Techniques

Minimal Patient Clinical Variables to Accurately Predict Stress Echocardiography Outcome: Validation Study Using Machine Learning Techniques

Authors of this article:

Mohamed Bennasar1 Author Orcid Image ;   Duncan Banks2 Author Orcid Image ;   Blaine A Price1 Author Orcid Image ;   Attila Kardos3 Author Orcid Image
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