Application of machine learning to predict obstructive sleep apnea syndrome severity

Clinical Practice Guideline for Diagnostic Testing for Adult Obstructive Sleep Apnea: An American Academy of Sleep Medicine Clinical Practice Guideline

(2017) Vishesh K. Kapur et al.   Journal of Clinical Sleep Medicine

Diagnostic accuracy of the Berlin questionnaire, STOP-BANG, STOP, and Epworth sleepiness scale in detecting obstructive sleep apnea: A bivariate meta-analysis

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Clinical Prediction Models for Sleep Apnea: The Importance of Medical History over Symptoms

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Characterization of obstructive sleep apnea-hypopnea syndrome (OSA) population by means of cluster analysis

(2016) Donato Lacedonia et al.   JOURNAL OF SLEEP RESEARCH

Obstructive sleep apnoea in the general population: highly prevalent but minimal symptoms

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Prevalence of sleep-disordered breathing in the general population: the HypnoLaus study

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Increased Prevalence of Sleep-Disordered Breathing in Adults

(2013) P. E. Peppard et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Multi-class AdaBoost

(2013) Trevor Hastie et al.   Statistics and Its Interface

Prediagnosis of Obstructive Sleep Apnea via Multiclass MTS

(2012) Chao-Ton Su et al.   Computational and Mathematical Methods in Medicine

Obstructive Sleep Apnea–Hypopnea and Incident Stroke

(2010) Susan Redline et al.   AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE

Prospective Study of Obstructive Sleep Apnea and Incident Coronary Heart Disease and Heart Failure

(2010) Daniel J. Gottlieb et al.   CIRCULATION

A prediction model based on an artificial intelligence system for moderate to severe obstructive sleep apnea

(2010) Lei Ming Sun et al.   Sleep and Breathing

STOP Questionnaire

(2008) Frances Chung et al.   ANESTHESIOLOGY