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

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 ...

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 ...

A tool that incorporates five predictors helps accurately identify patients with dermatomyositis who have an increased likelihood of concomitant cancer and can be used to help with early detection.

New NIH-funded research has led to an AI model that may better predict which children are at high risk for sepsis — before ...

Cervical cancer screening adherence is below 10%, with frequent guideline updates causing confusion among patients and clinicians. The COVID-19 pandemic worsened nonadherence and HPV vaccine awareness ...

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

Researchers have found in a new study that physical assessments at ICU discharge, particularly the Barthel Index, Medical ...

Objective To develop prediction models for short-term outcomes following a first acute myocardial infarction (AMI) event (index) or for past AMI events (prevalent) in a national primary care cohort.