Time series forecasting requires simplifying complex environments into quantifiable variables. These simplifications, while ...

Many U.S. hospitals using predictive models are not evaluating their tools internally for accuracy, and fewer still are evaluating them for potential biases, according to a study published in the most ...

EHR vendor Epic’s AI-powered sepsis model, which is used by hundreds of hospitals in the U.S., has faced scrutiny, CNBC reported April 3. Epic’s model is used to predict sepsis, a potentially ...

What if you could predict the future—not just in abstract terms, but with actionable precision? From forecasting energy demand to anticipating retail trends, the ability to make accurate predictions ...

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