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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Hlavní autoři:	Yimin Lin, Xiaoqing Ye, Yuxin Zhou, Chao Qin, Wenge Liu
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	BMC 2026-01-01
Edice:	BMC Health Services Research
Témata:	Lumbar disc herniation Prolonged length of stay Machine learning
On-line přístup:	https://doi.org/10.1186/s12913-026-14121-0
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