Linear and logistic regression models are essential tools for quantifying the relationship between outcomes and exposures. Understanding the mathematics behind these models and being able to apply ...

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

A novel biomarker signature combining PAF and CME predicts chronic pain risk, linking brain activity to individual pain ...

Physician burnout and intentions to reduce clinical effort or leave one’s institution are results of poor control over specific aspects of work.

AI-driven tools harness ML algorithms to provide insights into anxiety disorders. Supervised ML models, such as logistic ...

The following is a summary of “Nomogram for predicting proliferative lupus nephritis in patients with low-level proteinuria,” ...

They then used that data to create what they describe as a multinomial logistic regression model—a type of model that allows for multiple categories of dependent or outcome variables.

Elevated CAR has been associated with adverse outcomes in many conditions, including cancer, sepsis, COVID-19, and cardiovascular diseases. A higher C-reactive protein to albumin ratio (CAR) is ...