Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients...
Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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Hypertrophic cardiomyopathy (HCM) patients have a high incidence of atrial fibrillation (AF) and increased stroke risk, even with low risk of congestive heart failure, hypertension, age, diabetes, previous stroke/transient ischemic attack scores. Hence, there is a need to understand the pathophysiology of AF and stroke in HCM. In this retrospective...
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Machine Learning Methods for Identifying Atrial Fibrillation Cases and Their Predictors in Patients With Hypertrophic Cardiomyopathy: The HCM-AF-Risk Model
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TN_cdi_proquest_journals_2574952323
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2574952323
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E-ISSN
2331-8422
DOI
10.48550/arxiv.2109.09207
