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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）...

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Source

Identifiers

PMID: 42208962
DOI: 10.13201/j.issn.2096-7993.2026.06.003

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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