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Updated: Jul 8, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Published on: October 10, 2018

机器学习模型的开发,以预测喉回流病的治疗反应

Su Il Kim1, Young-Gyu Eun2, Young Chan Lee3

  • 1Department of Otolaryngology-Head and Neck Surgery, Kyung Hee University School of Medicine, Kyung Hee University Hospital at Gangdong, Seoul, Korea.

Journal of voice : official journal of the Voice Foundation
|March 30, 2025
PubMed
概括

机器学习模型可以预测喉回流病 (LPRD) 的治疗成功. 影响反应的关键因素包括近位逆流时间和弱酸暴露,有助于个性化LPRD管理.

关键词:
喉喉逆流性疾病 机器学习模型 逻辑回归 治疗反应 24小时多通道内阻抗-pH监测

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