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

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 ...

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

The distribution of false information on the internet is not only an annoyance; it has the ability to alter the outcome of elections, aggravate public health problems, and provoke social unrest.

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

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

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

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

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

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.

Individuals with diabetes were more likely to experience sleep disorders, poor sleep quality, and irregular sleep duration, with people who have prediabetes showing similar but milder trends.