2022
DOI: 10.21203/rs.3.rs-2298843/v1
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Explainable predictions of a machine learning model to forecast the postoperative length of stay for severe patients

Abstract: Understanding the length of stay of severe patients who require general anesthesia is key to enhancing health outcomes. Here, we aim to discover how machine learning can support resource allocation management and decision-making resulting from the length of stay prediction. A retrospective cohort study was conducted from January 2018 to October 2020. A total cohort of 240,000 patients’ medical records was collected. The data were collected exclusively for preoperative variables to accurately analyze the predic… Show more

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