A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.
You've just been diagnosed with prediabetes: Wouldn't you want to know if you were in danger of actually getting diabetes? Wouldn't you want to know if the recommended intervention would actually ...
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 ...
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 ...
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