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...