A highly accurate AI model improves prediabetes prediction by integrating antioxidant status with standard risk factors.
A research team led by professor Nan-Hee Kim from Korea University's College of Medicine (Nan-Hee Kim and So-Young Park of Department of Endocrinology and Metabolism; Min-Hee Kim and Jae-Young Kim of ...
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 ...
Diabetes is a major health challenge in India, with cases expected to reach 124.9 million by 2045. Effective diabetes ...
Researchers from Peking University have conducted a comprehensive systematic review on the integration of machine learning into statistical methods for disease risk prediction models, shedding light ...
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