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UNSUPERVISED MACHINE LEARNING CLUSTERING FOR STRATIFICATION OF CARDIAC RISK IN PATIENTS WITH EXERCISE ECHOCARDIOGRAPHY NEGATIVE FOR ISCHEMIA

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Exercise echocardiography (ESE) negative for ischemia is associated with an overall low risk of adverse events, but significant prognostic heterogeneity may exist within the referred population of patients. Unsupervised clustering… Click to show full abstract

Exercise echocardiography (ESE) negative for ischemia is associated with an overall low risk of adverse events, but significant prognostic heterogeneity may exist within the referred population of patients. Unsupervised clustering can uncover latent clinical phenotypes in those patients Patients

Keywords: exercise echocardiography; negative ischemia; risk; unsupervised machine; machine learning

Journal Title: Journal of the American College of Cardiology
Year Published: 2019

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