AI Medical Compendium Journal:
Health services & outcomes research methodology

Showing 1 to 2 of 2 articles

A machine learning approach for diagnostic and prognostic predictions, key risk factors and interactions.

Health services & outcomes research methodology
Machine learning (ML) has the potential to revolutionize healthcare, allowing healthcare providers to improve patient-care planning, resource planning and utilization. Furthermore, identifying key-risk-factors and interaction-effects can help service...

Optimizing Variance-Bias Trade-off in the TWANG Package for Estimation of Propensity Scores.

Health services & outcomes research methodology
While propensity score weighting has been shown to reduce bias in treatment effect estimation when selection bias is present, it has also been shown that such weighting can perform poorly if the estimated propensity score weights are highly variable....