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Preoperative Prediction and Risk Factor Identification of Hospital Length of Stay for Total Joint Arthroplasty Patients Using Machine Learning

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Background: The aim of this study was to improve understanding of hospital length of stay (LOS) in patients undergoing total joint arthroplasty (TJA) in a high-efficiency. hospital-based pathway. Methods: We retrospectively reviewed 1401 consecutive primary and revision TJA patients across 67 patient and preoperative care characteristics from 2016 to 2019 from the institutional electr... https://www.bekindtopets.com/best-price-Warhammer-40000-Dark-Angels-Lion-El-Jonson-best-save/
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