Using machine learning to define the association between cardiorespiratory fitness and all-cause mortality (From the FIT [Henry Ford Exercise Testing] Project)
The American Journal of Cardiology Sep 16, 2017
Al-Mallah MH, et al. - This study entails a comparison between statistical logistic regression (LR) and machine learning (ML) approaches in terms of prediction of 10 years all-cause mortality (ACM) in patients who underwent exercise stress testing. Among study participants, ML afforded better accuracy and discrimination of the prediction of ACM.
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