The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
14don MSN
A urine-based biological aging clock: Machine learning and microRNA offer accurate prediction
Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a urine-based biological aging clock. In validation of the method, predicted ...
Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
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