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 ...

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

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

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

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

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

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

An ongoing lawsuit filed against Workday shows that AI risk in hiring is not theoretical, writes Benjamin Shippen of BRG.

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.

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 ...