A machine learning model slightly outperforms a conventional regression model at predicting which children hospitalized for asthma will be readmitted within 180 days.

Read more about AI brings new hope to Africa’s health crisis; skills shortages slow real-world impact on Devdiscourse ...

Recent studies indicate that combining AI’s analytical capabilities with human expertise can improve the accuracy and effectiveness of student success initiatives. Interpretable machine learning ...

Machine learning and deep learning models are now widely used to classify disease cases, forecast outbreaks, and analyze epidemiological trends, often achieving high levels of accuracy in controlled ...

Combining machine learning and feature selection, this research accurately predicts aluminum levels in marine environments, ...

The findings show that boosting algorithms, a class of machine learning models, consistently outperform traditional statistical methods, particularly for traits with well-defined genetic signals. In ...

A close-up of a laser-directed energy deposition (LDED) system fabricating the novel AI-designed ultra-high strength steel, which achieves a rare balance of strength and ductility, excellent corrosion ...

Abstract: Amid growing concerns over university students’ mental health, predicting psychological states from observable learning behaviors has become a pressing academic and practical challenge.

Study: Explainable multimodal feature fusion networks for Parkinson's disease prediction. Image credit: goodluz/Shutterstock.com Recent advances in computing, especially the use of artificial ...

Patients with diabetic kidney disease (DKD) admitted to the intensive care unit (ICU) face an exceptionally high risk of in-hospital mortality. Currently, effective tools for their early risk ...

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...