Develop and validate a machine learning model to predict the risk of persistent pain after percutaneous transforaminal endoscopic discectomy

BackgroundPersistent pain is a common complication following percutaneous transforaminal endoscopic discectomy (PTED) for lumbar disc herniation. Identifying associated risk factors and developing a predictive model are crucial for guiding clinical decisions. This study aims to utilize machine learn...

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Autores principales:	Jun Yuan, Jun Fu
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Frontiers Media S.A. 2025-07-01
Colección:	Frontiers in Surgery
Materias:	lumbar disc herniation machine learning percutaneous transforaminal endoscopic discectomy persistent pain risk prediction model
Acceso en línea:	https://www.frontiersin.org/articles/10.3389/fsurg.2025.1631651/full
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