In matched case-control studies, conditional logistic regression is used to investigate the relationship between an outcome of being a case or a control and a set of prognostic factors. When each ...

The following is a summary of “Early cytokine signatures and clinical phenotypes discriminate persistent from resolving MRSA ...

While ML models are powerful tools for predicting diabetes, their lack of interpretability presents a major challenge for clinical adoption. Healthcare professionals require AI models to not only be ...

The following is a summary of “Clinical subtypes in critically ill patients with sepsis: validation and parsimonious classifier model development,” published in the February 2025 issue of Critical ...

For the Preeclampsia Integrated Estimate of RiSk Machine Learning model, consecutive performance deteriorates over time.

The existing prediction models for severe complications of preeclampsia are most accurate only in the two days after hospital admission, with deteriorating performance over time, according to a new ...

The existing prediction models for severe complications of preeclampsia are most accurate only in the two days after hospital admission, with deteriorating performance over time, according to a new ...