Search Results - "Tiwari, Premanand"
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Prediction of incident myocardial infarction using machine learning applied to harmonized electronic health record data
Published in BMC medical informatics and decision making (02-10-2020)“…With cardiovascular disease increasing, substantial research has focused on the development of prediction tools. We compare deep learning and machine learning…”
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A machine learning evaluation of patient characteristics associated with prescribing of guideline-directed medical therapy for heart failure
Published in Frontiers in cardiovascular medicine (21-06-2023)“…Patients with heart failure and reduced ejection fraction (HFrEF) are consistently underprescribed guideline-directed medications. Although many barriers to…”
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Prediction of Drug-Induced Long QT Syndrome Using Machine Learning Applied to Harmonized Electronic Health Record Data
Published in Journal of cardiovascular pharmacology and therapeutics (01-07-2021)“…Drug-induced QT prolongation is a potentially preventable cause of morbidity and mortality, however there are no widespread clinical tools utilized to predict…”
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Assessment of a Machine Learning Model Applied to Harmonized Electronic Health Record Data for the Prediction of Incident Atrial Fibrillation
Published in JAMA network open (03-01-2020)“…Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia, and its early detection could lead to significant improvements in outcomes through…”
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Abstract 13186: A Machine Learning Evaluation of Patient Characteristics Associated With Guideline-Directed Prescribing for Heart Failure and Reduced Ejection Fraction
Published in Circulation (New York, N.Y.) (16-11-2021)“…IntroductionPatients with heart failure and reduced ejection fraction (HFrEF) are consistently under-prescribed guideline-directed medications. Many barriers…”
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Abstract 13948: Machine Learning Using Electronic Health Records to Predict 6-Month Incident Atrial Fibrillation
Published in Circulation (New York, N.Y.) (19-11-2019)“…IntroductionEarly detection of atrial fibrillation (AF) has potential to significantly reduce stroke risk via initiation of anticoagulation. Although the best…”
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