Machine learning to predict radiomics models of classical trigeminal neuralgia response to percutaneous balloon compression treatment

BackgroundClassic trigeminal neuralgia (CTN) seriously affects patients’ quality of life. Percutaneous balloon compression (PBC) is a surgical program for treating trigeminal neuralgia. But some patients are ineffective or relapse after treatment. The aim is to use machine learning to construct clin...

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מידע ביבליוגרפי

Principais autores:	Ji Wu, Chengjian Qin, Yixuan Zhou, Xuanlei Wei, Deling Qin, Keyu Chen, Yuankun Cai, Lei Shen, Jingyi Yang, Dongyuan Xu, Songshan Chai, Nanxiang Xiong
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Frontiers Media S.A. 2024-11-01
סדרה:	Frontiers in Neurology
נושאים:	machine learning nomogram percutaneous balloon compression trigeminal neuralgia prognosis
גישה מקוונת:	https://www.frontiersin.org/articles/10.3389/fneur.2024.1443124/full
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