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 ...

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 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 ...

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.

Credolab, a global leader in behavioral and device metadata analytics, today announced the launch of its Income Prediction Model, a new machine-learning solution that enables lenders to estimate ...

Overview: Predictive models turn historical data into reliable forecasts that support accurate planning across industries.Different modeling types solve differe ...

COVID-19 severity can be predicted by a model with 5 variables: respiratory rate, systolic blood pressure, plasma albumin, LDH, and CRP.