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 ...

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 ...

Conclusions: There is a potential mismatch between what clinicians identify as important in determining palliative care need and final eligibility determinations. Patients with dementia were less ...

Machine learning models using initial neuropsychological and neuropsychiatric clinical data accurately distinguished AD from bvFTD.

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

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, ...

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 ...

Growing connectedness since 2008 may have deepened social and political divides. More friends could mean more conflict—and less tolerance.

The EnABLE Social Inclusion Framework for Results-Based Climate Finance Initiatives was devised as a key input into the Social Inclusion Strategy and Action Plan of the Enhancing Access to Benefits ...