A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
A publicly available AI tool correctly predicted approximately twice as many children with acute lymphoblastic leukemia who ...
Researchers found that the extreme gradient boosting (XGBoost) predictor could more accurately predict rheumatoid arthritis (RA) relapse than logistic regression and random forest. When evaluating ...
Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...
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