Support vector machine-based preoperative identification of IDH-Mutant low-grade gliomas in adult gliomas using clinical features

Abstract Background The preoperative identification of (isocitrate dehydrogenase) IDH-mutant low-grade gliomas (LGGs) is critical for personalized treatment planning. We aimed to develop a streamlined machine-learning model using key clinical features for rapid and accurate preoperative prediction....

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Detalhes bibliográficos

Principais autores:	Wei Chen, Guo-Hao Huang, Peng Ren, Fei Li, Sheng-Qing Lv
Formato:	Artigo
Idioma:	Inglês
Publicado em:	BMC 2025-10-01
coleção:	BMC Neurology
Assuntos:	SVM Preoperative prediction IDH-Mutant LGGs Clinical features
Acesso em linha:	https://doi.org/10.1186/s12883-025-04435-7
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