Regression and Machine Learning analysis to predict the length of stay in patients undergoing hip replacement surgery

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DOI:10.1145/3502060.3503616
作者：C. Ponsiglione, Teresa Angela Trunfio, F. Bruno, A. Borrelli
文献类型：期刊论文
补充材料：只需要正文

Association for Computing Machinery (ACM)

Abstract：Hip fracture is a serious injury associated with adverse outcomes, including mortality. It occurs mainly in older patients and is often associated with other collateral pathologies. Its trea

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