Open Heart

Machine learning-based cardiovascular risk calculator for non-cardiac surgery

Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
News Medical

Machine learning models that include social determinants of health better predict cardiovascular outcomes

Machine learning can accurately predict cardiovascular disease and guide treatment--but models that incorporate social determinants of health better capture risk and outcomes for diverse groups, finds ...
Analytics Insight

Machine Learning’s Hidden Secrets: Can We Trust the Algorithms?

Overview Machine learning offers efficiency at scale, but trust depends on understanding how decisions are madeAs machine ...
Electronic Design

Machine Learning Speeds Battery Charging, Testing Across Multiple Variables

A research team used machine learning in an optimal experimental design to quickly find the best method for Li-ion battery charging in under 10 minutes, while also maximizing overall battery lifetime.
ascopubs.org

Computing the Hazard Ratios Associated With Explanatory Variables Using Machine Learning Models of Survival Data

The application of Cox proportional hazards (CoxPH) models to survival data and the derivation of hazard ratio (HR) are well established. Although nonlinear, tree-based machine learning (ML) models ...