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 ...

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

It’s been discovered that a new tool using routine blood tests and a simple online app could help detect tuberculosis (TB) ...

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

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

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

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 ...

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

LifeTracer uses machine learning to spot subtle molecular patterns that separate biological chemistry from nonliving organics.

Researchers found that long-term driving behavior can reveal early signs of cognitive decline years before clinical diagnosis.

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.