Overview: Interpretability tools make machine learning models more transparent by displaying how each feature influences ...
Nonalcoholic fatty liver disease (NAFLD) is the most common cause of chronic liver disease, and if it is accurately predicted ...
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 ...
Accurately predicting complex agronomic traits remains a major bottleneck in crop breeding. This study demonstrates how ...
SportsLine's self-learning AI reveals NFL player props and its SGP picks for Ravens vs. Steelers on 'Sunday Night Football' ...
The progression of glaucoma was accurately predicted by machine learning models based on structural, functional and vascular ...
University of Idaho receives over $6M in DoD grants to advance machine learning research for PTSD diagnosis and military ...
Scientific knowledge advances through the interplay of empiricism and theory. Empirical observations of environmental ...
SportsLine's self-learning AI reveals NFL player props and its SGP picks for Bears vs. 49ers on 'Sunday Night Football' ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
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