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

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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Bibliographic Details
Main Authors:	Ji Wu, Chengjian Qin, Yixuan Zhou, Xuanlei Wei, Deling Qin, Keyu Chen, Yuankun Cai, Lei Shen, Jingyi Yang, Dongyuan Xu, Songshan Chai, Nanxiang Xiong
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-11-01
Series:	Frontiers in Neurology
Subjects:	machine learning nomogram percutaneous balloon compression trigeminal neuralgia prognosis
Online Access:	https://www.frontiersin.org/articles/10.3389/fneur.2024.1443124/full
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