The researchers argue that their findings, published in Scientific Reports, could help clinicians anticipate which patients ...

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Individual prediction uncertainty is a key aspect of clinical prediction model performance; however, standard performance metrics do not capture it. Consequently, a model might offer sufficient ...

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 ...

Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

Overview: The Java ecosystem now offers a wide variety of ML frameworks - from lightweight toolkits for data mining to ...

Machine learning models delivered the strongest performance across nearly all evaluation metrics. CHAID and CART provided the ...