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Abstract Hospitalization costs vary substantially among patients with chronic kidney disease (CKD), yet the factors underlying this heterogeneity are not fully understood. We developed an interpretable machine learning framework to retrospectively characterize differences in hospitalization costs among patients with CKD and externally evaluated its performance.
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