Interpretable prediction of prolonged length of stay for patients undergoing lumbar disc herniation surgery based on machine learning and SHAP

Abstract Background Prolonged length of stay (PLOS) is a key indicator of decreased healthcare quality. This study aims to identify the most suitable machine learning model for predicting PLOS in patients undergoing lumbar disc herniation surgery. Methods We retrospectively analyzed 1050 patients wh...

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Principais autores:	Yimin Lin, Xiaoqing Ye, Yuxin Zhou, Chao Qin, Wenge Liu
格式:	Artigo
語言:	Inglês
出版:	BMC 2026-01-01
叢編:	BMC Health Services Research
主題:	Lumbar disc herniation Prolonged length of stay Machine learning
在線閱讀:	https://doi.org/10.1186/s12913-026-14121-0
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