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监督机器学习对与食物相关的生活质量影响的嗅觉功能障碍
Karina Bayer1, Bernhard Prem1, Paul Suppinger1
1Department of Otorhinolaryngology, Head and Neck Surgery, Medical University of Vienna, Vienna, Austria.
The Laryngoscope
|August 20, 2025
概括
嗅觉功能障碍显著影响生活质量,特别是与食物相关的问题. 机器学习发现主观嗅觉是评估嗅觉功能障碍患者生活质量的关键.
科学领域:
- 耳鼻喉科
- 心理测量
- 数据科学
背景情况:
- 嗅觉功能障碍 (OD) 影响了大部分人群,导致生活质量下降.
- 对于制定有针对性的干预措施至关重要的是了解与OD相关的QOL损害的主要驱动因素.
- 之前的研究已经探讨了各种因素,但需要采用数据驱动的方法来确定最有影响力的因素.
研究的目的:
- 评估嗅觉功能障碍对生活质量的影响.
- 通过监督机器学习确定影响嗅觉功能障碍患者生活质量的关键因素.
- 研究特定嗅觉功能障碍症状与整体生活质量之间的关系.
主要方法:
- 对260名嗅觉功能障碍患者进行了回顾性,横截面研究.
- 使用TDI-Sniffin' Sticks测试来评估嗅觉功能.
- 通过嗅觉功能障碍负面陈述问卷 (QOD-NS) 测量生活质量;采用随机森林模型.
主要成果:
- 在预测QOL损伤方面,与食物相关的QOD-NS陈述是最有影响力的.
- 声明7 ("我吃饭时嗅觉的变化让我很烦") 是最重要的预测因素.
- 与其他原因相比,COVID-19相关的OD患者的TDI得分更好.
结论:
- 与饮食相关的困难是导致嗅觉功能障碍患者生活质量下降的主要原因.
- 嗅觉的变化对评估生活质量起着至关重要的作用.
- 这些发现强调了解决与食物有关的问题在治疗嗅觉功能障碍方面的重要性.
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