A study demonstrates that federated learning models for ICU mortality prediction preserve feature explainability consistency and high predictive performance compared ...
Researchers used machine learning and game theory feature selection to trim the 90-item Symptom Checklist to 44 questions while matching ...
A study in Ethiopia's Central Highlands found that LightGBM utilizing multisensor satellite predictors achieved an R2 of 0.89 for irrigated ...
A time-aware evaluation framework reveals that simple persistence forecasts outperform complex machine learning models while demonstrating that predictive accuracy and ...
A machine-learning model classifying database-observed cross-genus IncC plasmids showed sharp drops in discrimination and sensitivity when evaluated using lineage-aware validation ...
Researchers have integrated propensity score matching with machine learning to accurately identify student confusion and stress from minimal EEG recordings ...
A cross-sectional survey of 9,033 children in Northwest China identified associations between early second-hand smoke exposure and allergic multimorbidity.
A study of community-based chronic obstructive pulmonary disease patients found that an interpretable logistic regression model using six clinical predictors ...
A new explainable machine learning framework applied to South Korea’s public health insurance data reveals macroeconomic indicators associated with national ...
A retrospective two-center study demonstrates that a LightGBM machine learning model accurately predicts late recurrent intussusception in children following successful ...
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