Bayesian Network Matches Classifiers for IgE Sensitization Risk
A Bayesian network calibrated sensitization probabilities in 8,285 NHANES participants while matching logistic regression and random forest for discrimination, offering ...
A Bayesian network calibrated sensitization probabilities in 8,285 NHANES participants while matching logistic regression and random forest for discrimination, offering ...
A prospective Vietnamese cohort found that explainable machine learning could rank in-hospital mortality risk in acute heart failure, but it ...
A cross-sectional analysis of 17,814 U.S. adolescents found that expanded predictors improved classification of current overweight or obesity, but not ...
An abstract reports that an uncertainty-aware proof-of-concept model classified 6,849 cervical-cell images with an AUC-ROC of 0.993, but synthetic auxiliary ...
A deep neural network lost the accuracy race against random forest and SVM on a genetic disease benchmark, but its ...
A controlled study of four frontier chatbots building helmet-detection models finds that the most detailed prompts can trigger catastrophic training ...
A questionnaire-based machine-learning model developed from HIV sentinel surveillance data ranked testing encounters among men who have sex with men ...
Carnegie Mellon researchers show that pruning Bayesian networks with domain-driven metrics outperforms purely statistical methods for multi-model calibration in aerospace ...
A new mathematical framework using modular survival increase functions lets ecologists represent complex, multi-variable mortality risk in individual-based models while ...
A new version of the BEEHAVE honey bee model replaces the fixed egg-laying curve with an emergent feedback loop linking ...
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© 2025 Scienmag - Science Magazine