Machine Learning-Based Prediction of the Outcomes of Cochlear Implantation in Patients With Cochlear Nerve Deficiency and Normal Cochlea: A 2-Year Follow-Up of 70 Children

Machine Learning-Based Prediction of the Outcomes of Cochlear Implantation in Patients With Cochlear Nerve Deficiency and Normal Cochlea: A 2-Year Follow-Up of 70 Children

Cochlear nerve deficiency (CND) is often associated with variable outcomes of cochlear implantation (CI). We assessed previous investigations aiming to identify the main factors that determine CI outcomes, which would enable us to develop predictive models. Seventy patients with CND and normal cochl...

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Bibliographic Details
Main Authors: Simeng Lu, Jin Xie, Xingmei Wei, Ying Kong, Biao Chen, Jingyuan Chen, Lifang Zhang, Mengge Yang, Shujin Xue, Ying Shi, Sha Liu, Tianqiu Xu, Ruijuan Dong, Xueqing Chen, Yongxin Li, Haihui Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Neuroscience
Subjects:
cochlear nerve deficiency
cochlear implantation
machine learning
stability selection
support vector machines
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.895560/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.895560/full

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