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 ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
16don 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 ...
A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant measurements and environmental data. By training models on seven years of ...
SportsLine's self-learning AI reveals NFL player props and its SGP picks for Bears vs. 49ers on 'Sunday Night Football' ...
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