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Michael A Rosenberg

Showing results (1-10 of 63) with videos related to

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Circulation|March 29, 2021
Trusting Magic: Interpretability of Predictions From Machine Learning AlgorithmsMichael A Rosenberg
Circulation. Cardiovascular Quality and Outcomes|June 16, 2025
Different by Design: Heterogeneity in Models of Risk Prediction and Clinical Decision Support in Screening for Atrial FibrillationMichael A Rosenberg
Circulation. Heart Failure|December 21, 2023
Deep Learning and Biased Prediction: More Questions Than Answers?Michael A Rosenberg
Clinical Medicine Reviews in Vascular Health|September 26, 2014
LOWERING THE RISK FOR THROMBUS AND STROKE IN ATRIAL FIBRILLATION PATIENTS: Will Dabigatran Replace Warfarin?Alex Y Tan, Michael A Rosenberg
Journal of Atrial Fibrillation|May 13, 2017
The Estimated Risk of Atrial Fibrillation Related to Alcohol ConsumptionMichael A Rosenberg, Kenneth J Mukamal
Circulation|November 7, 2012
Diastolic dysfunction and risk of atrial fibrillation: a mechanistic appraisalMichael A Rosenberg, Warren J Manning
Gerontology & Geriatric Medicine|January 18, 2021
Feasibility of Frailty Assessment Integrated with Cardiac Implantable Electronic Device Clinic Follow-up: A Pilot InvestigationAbdel Albakri, Ariela Orkaby, Michael A Rosenberg
Heart Rhythm|April 15, 2014
To the editor--Spontaneous conversion of a long RP to short RP tachycardia: what is the mechanism?Michael A Rosenberg, Maheer Gandhavadi, Alex Y Tan
Medical Research Archives|December 5, 2023
A Discussion of the Contemporary Prediction Models for Atrial FibrillationMichael A Rosenberg, Joseph Adewumi, Ryan G Aleong
Journal of Medical Internet Research|April 14, 2025
Impact of an Alert-Based Inpatient Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome: Large-Scale, System-Wide Observational StudyKaty E Trinkley, Steven T Simon, Michael A Rosenberg
Pageof 7

Showing results (1-10 of 63) with videos related to

Sort By:
Pageof 7
Circulation|March 29, 2021
Trusting Magic: Interpretability of Predictions From Machine Learning AlgorithmsMichael A Rosenberg
Circulation. Cardiovascular Quality and Outcomes|June 16, 2025
Different by Design: Heterogeneity in Models of Risk Prediction and Clinical Decision Support in Screening for Atrial FibrillationMichael A Rosenberg
Circulation. Heart Failure|December 21, 2023
Deep Learning and Biased Prediction: More Questions Than Answers?Michael A Rosenberg
Clinical Medicine Reviews in Vascular Health|September 26, 2014
LOWERING THE RISK FOR THROMBUS AND STROKE IN ATRIAL FIBRILLATION PATIENTS: Will Dabigatran Replace Warfarin?Alex Y Tan, Michael A Rosenberg
Journal of Atrial Fibrillation|May 13, 2017
The Estimated Risk of Atrial Fibrillation Related to Alcohol ConsumptionMichael A Rosenberg, Kenneth J Mukamal
Circulation|November 7, 2012
Diastolic dysfunction and risk of atrial fibrillation: a mechanistic appraisalMichael A Rosenberg, Warren J Manning
Gerontology & Geriatric Medicine|January 18, 2021
Feasibility of Frailty Assessment Integrated with Cardiac Implantable Electronic Device Clinic Follow-up: A Pilot InvestigationAbdel Albakri, Ariela Orkaby, Michael A Rosenberg
Heart Rhythm|April 15, 2014
To the editor--Spontaneous conversion of a long RP to short RP tachycardia: what is the mechanism?Michael A Rosenberg, Maheer Gandhavadi, Alex Y Tan
Medical Research Archives|December 5, 2023
A Discussion of the Contemporary Prediction Models for Atrial FibrillationMichael A Rosenberg, Joseph Adewumi, Ryan G Aleong
Journal of Medical Internet Research|April 14, 2025
Impact of an Alert-Based Inpatient Clinical Decision Support Tool to Prevent Drug-Induced Long QT Syndrome: Large-Scale, System-Wide Observational StudyKaty E Trinkley, Steven T Simon, Michael A Rosenberg
Pageof 7