山东大学耳鼻喉眼学报 ›› 2025, Vol. 39 ›› Issue (2): 145-151.doi: 10.6040/j.issn.1673-3770.0.2024.036

• 综述 • 上一篇    

机器学习预测模型在突发性聋中的临床应用研究

李培培1,卢彦青2,侯楠3   

  1. 1.成都医学院第一附属医院 耳鼻咽喉头颈外科, 四川 成都 610500;
    2.重庆医科大学附属巴南医院 耳鼻咽喉科, 重庆 401320;
    3.四川泰康医院 耳鼻喉科, 四川 成都 610213
  • 发布日期:2025-03-26
  • 通讯作者: 侯楠. E-mail:110565888@qq.com

Research progress of machine learning prediction model in clinical application of sudden deafness

LI Peipei1, LU Yanqing2, HOU Nan3   

  1. 1. Department of Otorhinolaryngology & Head and Neck Surgery , The First Affiliated Hospital, Chengdu Medical College, Chengdu 610500, Sichuan, China 2. Department of Otorhinolaryngology, Banan Hospital, Chongqing Medical University, Chongqing 401320, China3. Department of Otolaryngology , Sichuan Taikang Hospital, Chengdu 610213, Sichuan, China
  • Published:2025-03-26

摘要： 突发性聋由于其病因及发病不明确,目前国内外仍没有统一的治疗方案。临床上面对不同的突发性聋患者也无法直接预估出患者预后的有效率和制定出最适合患者的治疗方案。随着大数据及计算机信息时代的发展,机器学习(machine learning,ML)为代表的人工智能应用可帮助实现患者教育及医患共同决策从一个抽象的概念转化为具体的可操作形式,从而评估疾病预后有效率及制定疾病的治疗方案。研究综述ML预测模型建立的全过程及在突聋中的应用,旨在为临床医务人员提供突聋疗效评估及方案制定的相关参考信息,更好地实现医患共同决策及提高突聋的疗效。

关键词: 突发性聋, 机器学习, 预测模型

Abstract: Due to the unclear aetiology and pathogenesis of sudden deafness, there is still no uniform treatment plan at home and abroad. In the face of different sudden deafness patients, it is not possible to directly estimate the effective prognosis of patients and formulate the most suitable treatment plan for patients. With the development of big data and the computer information age, the application of artificial intelligence represented by machine learning(ML)can help transform patient education and joint decision-making between doctors and patients from an abstract concept into a concrete operable form, so as to evaluate the prognosis and effectiveness of diseases and formulate treatment plans for diseases. The purpose of this paper is to review the whole process of ML prediction model construction and its application to sudden deafness, with the aim of providing relevant reference information for clinical staff to evaluate the curative effect of sudden deafness and make plans, so as to better realise joint decision-making between doctors and patients and improve the curative effect of sudden deafness.

Key words: Sudden deafness, Machine learning, Forecast

中图分类号: 

  • R764.35
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