Application of Machine Learning to Predict Hearing Outcomes of Tympanoplasty
Application of Machine Learning to Predict Hearing Outcomes of Tympanoplasty
复制标题
DOI：
10.1002/lary.30457
复制
发表时间：
2022-10
期刊：
影响因子：
--
通讯作者：
Hajime Koyama;A. Kashio;Tsukasa Uranaka;Yu Matsumoto;T. Yamasoba
中科院分区：
文献类型：
--
作者：
Hajime Koyama;A. Kashio;Tsukasa Uranaka;Yu Matsumoto;T. Yamasoba
本回顾性研究旨在评估机器学习技术在预测鼓室成形术后气骨间隙方面的性能，并与传统评分模型进行比较，并确定影响因素。
This retrospective study aimed to evaluate the performance of machine learning techniques in predicting air‐bone gap after tympanoplasty compared with conventional scoring models and to identify the influential factors.