Prenatal lead exposure was associated with a significantly increased risk for major depressive disorder (MDD) in adulthood, ...

Real-life models, e.g., logistic regression, K-nearest neighbors, decision trees, random forest and gradient boosting are also tested in the study and it is found that hybrid stacked models give ...

If you have experience with R or want a quick way to generate a regression with statsmodels using a pandas DataFrame, you can ...

A machine learning model using basic clinical data can predict PH risk, identifying key predictors like low hemoglobin and elevated NT-proBNP. Researchers have developed a machine learning model that ...

Background Coronary artery disease (CAD) is one of the biggest causes of mortality worldwide. Risk stratification for early ...

Sepsis ranks among the deadliest illnesses a child can face. It’s an infection that spirals out of control, causing organ ...

Background Anti-C1q autoantibodies can disrupt normal complement function, contributing to the formation of pathogenic immune ...

Machine learning is transforming how crypto traders create and understand signals. From supervised models such as Random Forests and Gradient Boosting Machines to sophisticated deep learning hybrids ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

By a News Reporter-Staff News Editor at Insurance Daily News-- Researchers detail new data in Managed Care. According to news reporting from Chapel Hill, North Carolina, by NewsRx journalists, ...

A higher oxidative balance score (OBS), a composite indicator of pro- and antioxidant exposures, is associated with increased ...

Female sex at birth, age of 65 years or older, and 32 specific medications were identified as factors for drug-related candidiasis.