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 ...

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

AI, when properly implemented, has the power to transform emergency medicine by enhancing patient outcomes, reducing ...

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 ...

The existing prediction models for severe complications of preeclampsia are most accurate only in the two days after hospital ...

AI-enabled ECG biological age (ECG-BA) improves disease risk classification beyond chronological age, enhancing early ...

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 study ...