Development and validation of a machine learning-based diagnostic model for identifying nonneutropenic invasive pulmonary aspergillosis in suspected patients: a multicenter cohort study.

The risk score derived from SHAP values showed a highly significant correlation with the predicted probability of the weighted ensemble model (Spearman ρ = 0.974), achieving an area under the curve of 0.857 in internal cross-validation and 0.871 in external testing.

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