Application of machine learning in prediction of rehabilitation effect after cochlear implantation
10.3969/j.issn.1006-7299.2025.02.018
- VernacularTitle:机器学习在人工耳蜗植入康复效果预测中的应用
- Author:
Kaiying LAI
1
;
Jiahao LIU
;
Xiaoyi ZUO
;
Maojin LIANG
;
Suiping WANG
Author Information
1. 广州市教育研究院(广州 510180);华南师范大学心理学院(广州 510631)
- Publication Type:Journal Article
- Keywords:
Machine learning;
Cochlear implantation;
Rehabilitation effect;
Prediction;
Model
- From:
Journal of Audiology and Speech Pathology
2025;33(2):182-187
- CountryChina
- Language:Chinese
-
Abstract:
Cochlear implantation is the most effective method to restore hearing in patients with severe and profound hearing impairment.There are individual differences in rehabilitation after cochlear implantation.In order to better understand the underlying factors of rehabilitation,machine learning has been gradually applied to the reha-bilitation prediction of cochlear implant patients.Since related literature is still in its infancy,many problems still remain unresolved,such as insufficient sample size and lack of diversification of data features.We suggest that fu-ture research may expand the sample size,optimize machine learning models,and fully explore the predictive factors affecting the rehabilitation of cochlear implantation,and make machine learning a better tool in the area of cochlear implantation.
