Interpretable machine learning for identifying ICU readmission risk in subgroups with probabilistic rules.

OBJECTIVE: Estimating readmission risk for intensive care unit (ICU) patients is critical for clinicians to optimize resource allocation and prevent premature discharges. Machine learning models currently applied to this task either lack interpretabi…

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