Article

Status and Opportunities of Machine Learning Applications in Obstructive Sleep Apnea: A Narrative Review

2025-03-01

Abstract excerpt

<h4>Background</h4> Obstructive sleep apnea (OSA) is a prevalent and potentially severe sleep disorder characterized by repeated interruptions in breathing during sleep. Machine learning models have been increasingly applied in various aspects of OSA research, including diagnosis, treatment optimization, and developing biomarkers for endotypes and disease mechanisms. <h4>Objective</h4> This narrative review eval...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 19cc8314-c882-580d-a8ea-7da1f662c6c4
DOI: 10.1101/2025.02.27.25322950

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Status and Opportunities of Machine Learning Applications in Obstructive Sleep Apnea: A Narrative ReviewDOI 10.1101/2025.02.27.25322950Read

Optimized Machine Learning Algorithms for the Classification and Diagnosis of Sleep DisordersSemantic proximity Read

Machine Learning (ML) Models to Enhance the Berlin Questionnaire (BQ) Detection of Obstructive Sleep Apnea (OSA) at-Risk PatientsSemantic proximity Read

Advanced Data Framework for Sleep Medicine Applications: Machine Learning-Based Detection of Sleep Apnea EventsSemantic proximity Read

Predictive Modeling and Deep Phenotyping of Obstructive Sleep Apnea and Associated Comorbidities through Natural Language Processing and Large Language ModelsSemantic proximity Read

Phenotypes in obstructive sleep apnea: A definition, examples and evolution of approaches.Semantic proximity Read

A multifaceted approach for obstructive sleep apnea classification from ECG signal using deep learningSemantic proximity Read

Identification of Comorbidities in OSA Using Diverse Data and 1D-CNNSemantic proximity Read

A Zero-Burden Sleep Foundation Model Built on Cardiorespiratory Signals from 1,400,000+ Hours of Multi-Ethnic Sleep RecordingsSemantic proximity Read

A Multimodal Sleep Foundation Model for Disease PredictionSemantic proximity Read

Automated Sleep Stage and Event Detection Algorithms Using Quality-Controlled PSG AnnotationsSemantic proximity Read

Research Priorities for Translating Endophenotyping of Adult Obstructive Sleep Apnea to the Clinic: An Official American Thoracic Society Research Statement.Semantic proximity Read

Development and internal validation of a prediction model for sleep apnea syndrome treated with continuous positive airway pressure based on claims and health checkup data linked to personal health recordsSemantic proximity Read