Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...
Korea University researchers have developed a machine-learning framework that predicts solar cell efficiency from wafer quality, enabling early wafer screening and optimized production paths. Using ...
Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
The team utilized machine learning to analyze public data from the National Health and Nutrition Examination Survey.
By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...
Sticking to an exercise routine is a challenge many people face. But a research team is using machine learning to uncover what keeps individuals committed to their workouts. Sticking to an exercise ...
Explore how machine learning in insurance enhances risk assessment, fraud detection, and personalization. ✓ Subscribe for ...
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