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Ben O Petrazzini

Showing results (1-10 of 14) with videos related to

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Lancet (London, England)|July 15, 2023
Machine learning-based markers for CAD - Authors' replyIain S Forrest, Ben O Petrazzini, Ron Do
The American Journal of Cardiology|December 17, 2020
Prediction of Incident Heart Failure in TTR Val122Ile Carriers One Year Ahead of Diagnosis in a Multiethnic BiobankKumardeep Chaudhary, Ben O Petrazzini, Jagat Narula, et al.
Cell Reports Methods|December 10, 2024
Ensemble and consensus approaches to prediction of recessive inheritance for missense variants in human diseaseBen O Petrazzini, Daniel J Balick, Iain S Forrest, et al.
European Heart Journal. Digital Health|March 12, 2026
Three-year risk prediction of aortic stenosis using routine medical records: derivation and validation in 919 954 individuals from two cohortsBen O Petrazzini, Waqas A Malick, Stamatios Lerakis, et al.
Journal of the American College of Cardiology|March 25, 2022
Coronary Risk Estimation Based on Clinical Data in Electronic Health RecordsBen O Petrazzini, Kumardeep Chaudhary, Carla Márquez-Luna, et al.
Journal of the American Heart Association|April 12, 2023
Machine Learning Identifies Plasma Metabolites Associated With Heart Failure in Underrepresented Populations With the <i>TTR</i> V122I VariantJoshua K Park, Ben O Petrazzini, Aparna Saha, et al.
Atherosclerosis|January 12, 2025
Evaluation of a machine learning-based metabolic marker for coronary artery disease in the UK BiobankKyle Gibson, Iain S Forrest, Ben O Petrazzini, et al.
Nature Communications|May 11, 2023
A machine learning model identifies patients in need of autoimmune disease testing using electronic health recordsIain S Forrest, Ben O Petrazzini, Áine Duffy, et al.
JAMA|January 25, 2022
Population-Based Penetrance of Deleterious Clinical VariantsIain S Forrest, Kumardeep Chaudhary, Ha My T Vy, et al.
Science (New York, N.Y.)|August 28, 2025
Machine learning-based penetrance of genetic variantsIain S Forrest, Ha My T Vy, Ghislain Rocheleau, et al.
Pageof 2

Showing results (1-10 of 14) with videos related to

Sort By:
Pageof 2
Lancet (London, England)|July 15, 2023
Machine learning-based markers for CAD - Authors' replyIain S Forrest, Ben O Petrazzini, Ron Do
The American Journal of Cardiology|December 17, 2020
Prediction of Incident Heart Failure in TTR Val122Ile Carriers One Year Ahead of Diagnosis in a Multiethnic BiobankKumardeep Chaudhary, Ben O Petrazzini, Jagat Narula, et al.
Cell Reports Methods|December 10, 2024
Ensemble and consensus approaches to prediction of recessive inheritance for missense variants in human diseaseBen O Petrazzini, Daniel J Balick, Iain S Forrest, et al.
European Heart Journal. Digital Health|March 12, 2026
Three-year risk prediction of aortic stenosis using routine medical records: derivation and validation in 919 954 individuals from two cohortsBen O Petrazzini, Waqas A Malick, Stamatios Lerakis, et al.
Journal of the American College of Cardiology|March 25, 2022
Coronary Risk Estimation Based on Clinical Data in Electronic Health RecordsBen O Petrazzini, Kumardeep Chaudhary, Carla Márquez-Luna, et al.
Journal of the American Heart Association|April 12, 2023
Machine Learning Identifies Plasma Metabolites Associated With Heart Failure in Underrepresented Populations With the <i>TTR</i> V122I VariantJoshua K Park, Ben O Petrazzini, Aparna Saha, et al.
Atherosclerosis|January 12, 2025
Evaluation of a machine learning-based metabolic marker for coronary artery disease in the UK BiobankKyle Gibson, Iain S Forrest, Ben O Petrazzini, et al.
Nature Communications|May 11, 2023
A machine learning model identifies patients in need of autoimmune disease testing using electronic health recordsIain S Forrest, Ben O Petrazzini, Áine Duffy, et al.
JAMA|January 25, 2022
Population-Based Penetrance of Deleterious Clinical VariantsIain S Forrest, Kumardeep Chaudhary, Ha My T Vy, et al.
Science (New York, N.Y.)|August 28, 2025
Machine learning-based penetrance of genetic variantsIain S Forrest, Ha My T Vy, Ghislain Rocheleau, et al.
Pageof 2