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Article

Polysomnographic phenotyping of obstructive sleep apnea and its implications in mortality in Korea.

Scientific reports - 6 Aug 2020

Kim Jeong-Whun, Won Tae-Bin, Rhee Chae-Seo, Park Young Mi, Yoon In-Young, Cho Sung-Woo

Abstract excerpt

Conventionally, apnea-hypopnea index (AHI) is used to define and categorize the severity of obstructive sleep apnea. However, routine polysomnography (PSG) includes multiple parameters for assessing the severity of obstructive sleep apnea. The goal of this study is to identify and categorize obstructive sleep apnea phenotypes using unsupervised learning methods from routine PSG data. We identified four clusters...

Topics

Female
Humans
Male
Middle Aged
Phenotype
Polysomnography
Republic of Korea
Sleep Apnea, Obstructive

Source

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Identifiers

PMID: 32764677
DOI: 10.1038/s41598-020-70039-5
PMCID: PMC7411028

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 29 Aug 2026. Prepared record publication-32764677-2026-08-29.1. Manifest publication-graph-cohort-2026-08-29.1.

Source receipt: PubMed via Helena Literature Corpus, retrieved 29 Aug 2026.

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