Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

Overview:  Python and Jupyter offer a simple, powerful setup for beginner-friendly data science learning. Real-world datasets ...

The distribution of false information on the internet is not only an annoyance; it has the ability to alter the outcome of ...

Pre-workout supplements are associated with lower sleep duration in young Canadians, highlighting the need for guidance on ...

Experts warn that rising heatwaves, floods and droughts are intensifying hunger, disease and maternal risks—threatening India ...

LifeTracer uses machine learning to spot subtle molecular patterns that separate biological chemistry from nonliving organics.

Background Many individuals initiating tuberculosis (TB) treatment do not successfully complete the regimen. Understanding variation in treatment outcomes could reveal opportunities to improve the ...

Traditional financial distress prediction relies heavily on backward-looking financial indicators such as leverage, liquidity ...

Objectives To identify caregiver burden profiles among informal caregivers of children and adolescents with type 1 diabetes and explore associated factors. Design A multicentre cross-sectional survey ...

Reduced costly care: Behavioral health–related emergency department visits and inpatient admissions decreased by 35% and 43%, respectively. Lower total medical costs: The intervention group saved ...

Results The total sample comprised 762 390 CYP. 2.20% of the sample were prescribed an SSRI (95% CI 2.17% to 2.24%) and 0.50% an ADHD medication (95% CI 0.49% to 0.52%) in years 2 ...

This manuscript makes a valuable contribution to understanding learning in multidimensional environments with spurious associations, which is critical for understanding learning in the real world. The ...