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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Detalhes bibliográficos

Principais autores:	Yimin Lin, Xiaoqing Ye, Yuxin Zhou, Chao Qin, Wenge Liu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2026-01-01
coleção:	BMC Health Services Research
Assuntos:	Lumbar disc herniation Prolonged length of stay Machine learning
Acesso em linha:	https://doi.org/10.1186/s12913-026-14121-0
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