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 ...

An analysis of 5 machine-learning algorithms identified predictors for moderate-to-severe cancer-related fatigue in patients with CRC undergoing chemotherapy.

Among adolescent girls with concussion, greater initial emotional symptom severity, reflected in higher anxiety, depression, and sleep disturbance scores, was associated with a higher likelihood of ...

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

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

Familial clustering was identified in primary hyperparathyroidism, as first-degree relatives were at higher risk than control patients.

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 ...

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

A study of 5,840 older adult migrants in China’s mainland revealed that only 19.9% had received education for self-help in public emergencies.

Vaping-related disorder is rare in patients with chronic lung disease but is also associated with a much higher likelihood of mortality.