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

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 ...

A Scientific Reports study developed a pattern neural network that integrates total antioxidant status with clinical and ...

MFIs rely on standardized interest rate systems that treat borrowers uniformly, regardless of the individual likelihood of ...

The researchers also argue that explainable AI models are essential for ensuring fairness and accountability in policy design. In traditional statistical models, the relationships between variables ...

Researchers explore the use of smartphones coupled with clinical scores to evaluate motor function and predict dopamine ...

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

Researchers investigating the prevalence of vitamin D deficiency and insufficiency in individuals with chronic spinal cord injury assessed participants’ vitamin D levels using high-performance liquid ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across ...

India: A new retrospective study from Father Muller Medical College, Mangalore, has highlighted the critical role of ...

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

The online information landscape, driven in large part by social media, rewards engagement and is curated by classification ...