The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...

HIV and tuberculosis (TB) treatment programs have always relied on clinical trials to understand whether treatment ...

Health researchers need to fully understand the underlying assumptions to uncover cause and effect. Timothy Feeney and Paul Zivich explain Physicians ask, answer, and interpret myriad causal questions ...

Occam’s razor is the principle that, all else being equal, simpler explanations should be preferred over more complex ones. This principle is thought to guide human decision-making, but the nature of ...

PRA observation The PRA observed that monitoring cycles for AI and ML models are often too infrequent. Some firms monitor ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Background In 2024, the UK National Institute of Health and Care Excellence (NICE) recommended TriageHF alerts as an option ...

Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.

Objectives Delays in cancer diagnosis for patients with non-specific symptoms (NSSs) lead to poorer outcomes. Rapid Diagnostic Clinics (RDCs) expedite care, but most NSS patients do not have cancer, ...

This research underscores the beneficial impact of the Medicaid Institution for Mental Diseases (IMD) exclusion waivers on psychiatric-specific and all-cause health care resource utilization and costs ...

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the highest and most stable sensitivity, accuracy and discriminatory power, ...

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