Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Ele...
Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy (HCM-VAr-Risk Model)
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United States: Elsevier Inc
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Language
English
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United States: Elsevier Inc
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Contents
Clinical risk stratification for sudden cardiac death (SCD) in hypertrophic cardiomyopathy (HC) employs rules derived from American College of Cardiology Foundation/American Heart Association (ACCF/AHA) guidelines or the HCM Risk-SCD model (C-index ∼0.69), which utilize a few clinical variables. We assessed whether data-driven machine learning meth...
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Full title
Identifying Ventricular Arrhythmias and Their Predictors by Applying Machine Learning Methods to Electronic Health Records in Patients With Hypertrophic Cardiomyopathy (HCM-VAr-Risk Model)
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TN_cdi_proquest_miscellaneous_2204697893
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2204697893
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ISSN
0002-9149
E-ISSN
1879-1913
DOI
10.1016/j.amjcard.2019.02.022
