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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, ...

A machine learning model may help predict mortality for hospitalized patients with cirrhosis at the time of admission, ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values.

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 ...