Simple blood and lung tests may predict airway hyperresponsiveness before provocation testing
An interpretable model and scorecard built from routine lung function and blood markers predicted bronchial hyperresponsiveness with an AUC near ...
An interpretable model and scorecard built from routine lung function and blood markers predicted bronchial hyperresponsiveness with an AUC near ...
A coupled MODFLOW-MT3DMS and MOORA framework for the Tehran aquifer found that a 15 percent pumping cut plus selected well ...
Researchers propose a real-time calibration approach that embeds model discrepancy into infectious disease models to support pandemic policy decisions.
A systematic review of 82 studies found SHAP dominated interpretability methods in machine learning disease prediction, while calibration, stability and ...
In a UK Biobank validation of 183,124 adults, the Pooled Cohort Equations showed the best 10-year cardiovascular risk discrimination and ...
A systematic review of 64 studies finds that only about one in five AI prediction models built on electronic health ...
Machine learning models that power highly automated driving, medical systems, and aviation are only as good as the data and ...
Researchers have added a runoff-isotope module and calibration guidelines to the PRYSM v2.0 lake proxy system model, showing that a ...
Researchers have developed an importance-sampling-based black box variational inference algorithm that reuses earlier simulation evaluations to cut the computational cost ...
A large multimodal study found that adding ECG measurements and early clinical text to structured electronic health records did not ...
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© 2025 Scienmag - Science Magazine