Article
[Multidimensional clinical phenotypes of obstructive sleep apnea hypopnea syndrome based on unsupervised clustering algorithm].
Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery - 1 Jun 2026
Xia Zihan, Niu Xiaoxin, Yuan Yuqi, Zhou Yanuo, Zhu Simin, Feng Yani, DU Jiayi, Zhang Chutong, Liu Haiqin, Shi Yewen, Ren Xiaoyong
Abstract excerpt
Objective:To advance the precision diagnosis and treatment of obstructive sleep apnea-hypopnea syndrome（OSAHS）, this study aimed to identify phenotypes with distinct pathophysiological and clinical features based on multidimensional clinical data using unsupervised clustering methods. Methods:Polysomnography indicators （apnea-hypopnea index[AHI], lowest oxygen saturation, oxygen desaturation index, arousal index）...
Topics
- Humans
- Sleep Apnea, Obstructive
- Clustering Algorithms
- Phenotype
- Male
- Polysomnography
- Female
- Middle Aged
- Adult
- Cluster Analysis