Using machine learning on cardiorespiratory fitness data for predicting hypertension: The Henry Ford ExercIse Testing (FIT) ProjectSherif Sakr, Mouaz H. Al‐Mallah, Radwa Elshawi et al.|PLoS ONE|2018Cited by 115
Comparison of machine learning techniques to predict all-cause mortality using fitness data: the Henry ford exercIse testing (FIT) projectSherif Sakr, Mouaz H. Al‐Mallah, Radwa Elshawi et al.|BMC Medical Informatics and Decision Making|2017Cited by 95
Cardiorespiratory fitness and incident heart failure: The Henry Ford ExercIse Testing (FIT) ProjectDaniel Kupsky, Mouaz H. Al‐Mallah, Amjad Ahmed et al.|American Heart Journal|2016Cited by 54
Using Machine Learning to Define the Association between Cardiorespiratory Fitness and All-Cause Mortality (from the Henry Ford Exercise Testing Project)Mouaz H. Al‐Mallah, Sherif Sakr, Radwa Elshawi et al.|The American Journal of Cardiology|2017Cited by 29
The impact of digoxin on mortality in patients with chronic systolic heart failure: A propensity-matched cohort studyMay Al-Khateeb, Mouaz H. Al‐Mallah, Waqas Qureshi et al.|International Journal of Cardiology|2016Cited by 20