(Model 1: Inclusion of cardiovascular risk prediction score with the highest AUC only; Model 2: Inclusion of retinal information only; Model 3: Inclusion of cardiovascular risk prediction score and retinal characteristics). (TIFF)</p
ObjectivesThe aim of this study was to evaluate whether machine learning (ML) of noncontrast compute...
Cardiovascular diseases (CVDs) remain a leading global cause of morbidity and mortality. Timely iden...
The review presents an analysis of publications on use of machine learning (ML) to assess the pretes...
(Model 1: Inclusion of cardiovascular risk prediction function with the highest AUC only; Model 2: I...
Machine-learning analysis for AUC comparison between different models in the prediction of significa...
a. AUC comparison between different models for the prediction of coronary atherosclerosis. (Model 1:...
International audienceAssessment of cardiovascular risk is the keystone of prevention in cardiovascu...
AIMS Symptom-based pretest probability scores that estimate the likelihood of obstructive coronar...
Background Machine learning (ML) is able to extract patterns and develop algorithms to construct dat...
Stepwise logistic regression analysis showing risk prediction function and retinal characteristics a...
AimsSymptom-based pretest probability scores that estimate the likelihood of obstructive coronary ar...
Developing risk assessment tools for CAD prediction remains challenging nowadays. We developed an ML...
BackgroundMachine learning (ML) is able to extract patterns and develop algorithms to construct data...
Abstract Background Accurately predicting the risk of atherosclerotic cardiovascular disease (ASCVD)...
The heart is the most vital organ of the human body; thus, its improper functioning has a significan...
ObjectivesThe aim of this study was to evaluate whether machine learning (ML) of noncontrast compute...
Cardiovascular diseases (CVDs) remain a leading global cause of morbidity and mortality. Timely iden...
The review presents an analysis of publications on use of machine learning (ML) to assess the pretes...
(Model 1: Inclusion of cardiovascular risk prediction function with the highest AUC only; Model 2: I...
Machine-learning analysis for AUC comparison between different models in the prediction of significa...
a. AUC comparison between different models for the prediction of coronary atherosclerosis. (Model 1:...
International audienceAssessment of cardiovascular risk is the keystone of prevention in cardiovascu...
AIMS Symptom-based pretest probability scores that estimate the likelihood of obstructive coronar...
Background Machine learning (ML) is able to extract patterns and develop algorithms to construct dat...
Stepwise logistic regression analysis showing risk prediction function and retinal characteristics a...
AimsSymptom-based pretest probability scores that estimate the likelihood of obstructive coronary ar...
Developing risk assessment tools for CAD prediction remains challenging nowadays. We developed an ML...
BackgroundMachine learning (ML) is able to extract patterns and develop algorithms to construct data...
Abstract Background Accurately predicting the risk of atherosclerotic cardiovascular disease (ASCVD)...
The heart is the most vital organ of the human body; thus, its improper functioning has a significan...
ObjectivesThe aim of this study was to evaluate whether machine learning (ML) of noncontrast compute...
Cardiovascular diseases (CVDs) remain a leading global cause of morbidity and mortality. Timely iden...
The review presents an analysis of publications on use of machine learning (ML) to assess the pretes...