Early prediction of in-hospital pneumonia mortality can effectively be done using a machine learning (ML) model based on clinical data.

Hypoglycemia is a serious complication in individuals with type 2 diabetes mellitus. Identifying who is most at risk remains challenging due to the non-linear relationships between hypoglycemia and ...

When every team can use data to make smarter decisions, the playing field is leveled and the door opens to a more innovative, ...

While multiple machine learning (ML) algorithms offered similar predictive performance, the cost-effective analysis revealed ...

but predictive analytics could be the aspect with the biggest potential payoff for retailers. It combines data mining, statistical modeling and machine learning to take historical information and use ...

The study finds that AI systems have been most effectively applied in identifying risks for preeclampsia, gestational ...

This study compared 6 algorithmic fairness–improving approaches for low-birth-weight predictive models and found ... Potential biases in machine learning algorithms using electronic health ...

Clinical trials, traditionally plagued by low success rates and high operational costs, are being reengineered through AI ...

AI is fundamentally changing the way healthcare leaders are helping people manage their health by enabling personalized, data ...

The healthcare industry is on the cusp of change, with artificial intelligence (AI) and predictive analytics paving ... AI-powered machine learning models are adept at parsing complex imaging ...