USING MACHINE LEARNING TO DEFINE THE ASSOCIATION BETWEEN CARDIORESPIRATORY FITNESS AND ALL-CAUSE MORTALITY: THE FIT (HENRY FORD EXERCISE TESTING) PROJECT

Background: Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification technique that classifies the data into predetermined categories. The aim of the analysis