Let’s say we have a binomial logistic regression model with a target column y, credit rating, with two classes that are represented by 0 (good credit rating) and 1 (bad credit rating).

We trained models using logistic regression (LR) and four commonly used ML algorithms to predict NCGC from age-/sex-matched controls in two EHR systems: Stanford University and the University of ...

EHR data may be particularly suitable for machine learning (ML) techniques, as such algorithms can process high-dimensional data and capture nonlinear relationships between variables. By comparison, ...