Article
Exploring phenotypes to improve long-term mortality risk stratification in obstructive sleep apnea through a machine learning approach: an observational cohort study.
European journal of internal medicine - 1 Mar 2025
Tondo Pasquale, Scioscia Giulia, Bailly Sebastien, Sabato Roberto, Campanino Terence, Soccio Piera, Foschino Barbaro Maria Pia, Gallo Crescenzio, Pépin Jean-Louis, Lacedonia Donato
Abstract excerpt
BACKGROUND: Obstructive sleep apnea (OSA) is a heterogeneous sleep disorder for which the identification of phenotypes might help for risk stratification for long-term mortality. Thus, the aim of the study was to identify distinct phenotypes of OSA and to study the association of phenotypes features with long-term mortality by using machine learning. METHODS: This retrospective study included patients diagnosed...
Topics
- Humans
- Sleep Apnea, Obstructive
- Male
- Female
- Middle Aged
- Machine Learning
- Retrospective Studies
- Phenotype
- Aged
- Continuous Positive Airway Pressure