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Open access 2026

Predicting 30-day unplanned readmissions in patients with cancer in a Brazilian hospital: a Machine Learning approach.

OBJECTIVE This study aims to develop Machine Learning models to predict 30-day unplanned readmissions in cancer patients treated at a private hospital in Brazil. METHODS This retrospective cohort study included admission records of hospitalizations lasting >24 hours, with a corresponding diagnosis of a solid malignan...

Nickolas Stabellini, Marília Melo Favalesso, C. Szlejf et al. · 0 citations

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