Unsupervised Phenotyping to Stratify Surgical Outcomes in Obstructive Sleep Apnea

Unsupervised clustering of multidimensional data revealed obstructive sleep apnea phenotypes with distinct surgical prognoses. Integrating this approach into preoperative evaluations may help inform surgical counseling and shared decision-making.

Authors

Dachan Kim (ORCID: https://orcid.org/0000-0001-5196-8482)
Hyung‐Ju Cho (ORCID: https://orcid.org/0000-0002-2851-3225)
Min-Seok Rha
Seung J Lee

Institutions

Yonsei University (KR)

Publication Details

Journal: Otolaryngology
Published: 2026-02-06
DOI: https://doi.org/10.1002/ohn.70165
Primary Topic: Obstructive Sleep Apnea Research
Type: article
Field-Weighted Citation Impact: 0.00

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article

Unsupervised Phenotyping to Stratify Surgical Outcomes in Obstructive Sleep Apnea

Dachan Kim, Hyung‐Ju Cho, Min-Seok Rha, Seung J Lee

Feb 6, 2026

Otolaryngology

Obstructive Sleep Apnea Research

article

Unsupervised Phenotyping to Stratify Surgical Outcomes in Obstructive Sleep Apnea

Dachan Kim, Hyung‐Ju Cho, Min-Seok Rha, Seung J Lee

February 6, 2026article en

Abstract

Otolaryngology

Yonsei University (KR)

Peace, Justice and strong institutions

Openalex Percentile: Top 64%

Obstructive Sleep Apnea Research

DOI Source OpenAlex

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Unsupervised Phenotyping to Stratify Surgical Outcomes in Obstructive Sleep Apnea — Dachan Kim, Hyung‐Ju Cho, et al. · Otolaryngology (2026) | TGRS Research Map | TGRS