Machine learning model for predicting neuropathic pain following thoracic oncology surgery

ObjectivesNeuropathic pain (NP) is a common and challenging complication following thoracic oncology surgery, characterized by complex etiological factors. However, effective predictive models for identifying high-risk patients are currently lacking. This study aims to determine the incidence and ke...

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Autori principali:	Yu Zhang, Shirong Wu, Maolin Zhou, Hui Pan, Qing Fan, Jie Xie, Xue Xiao, Tian Zhang, Jinjun Shu, Yan Luo, Dongmei Ma, Qing Yang
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2025-12-01
Serie:	Frontiers in Oncology
Soggetti:	machine learning neuropathic pain oncology predictive model surgery, thoracic
Accesso online:	https://www.frontiersin.org/articles/10.3389/fonc.2025.1725412/full
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