Nature

Machine learning-based prediction and SHAP sensitivity analysis of sound speed in hydrogen-rich gas mixtures

The investigation and determination of the speed of sound in gases and gas mixtures have long been recognized as essential tools for analyzing their physical and chemical properties 1,2,3,4,5. In gas ...
Nature

Comprehensive interaction modeling with machine learning improves prediction of disease risk in the UK Biobank

Risk prediction models are needed in modern preventive medicine to identify individuals at high risk of disease before clinical symptoms manifest. The ability to predict disease risk is particularly ...
EurekAlert!

Machine learning prediction of long-term sickness absence due to mental disorders using Brief Job Stress Questionnaire data

Long-term sickness absence (LTSA) is a significant issue, causing productivity decline, financial difficulties, and increased mental health issues, with mental disorders being the most common cause.