Introduction: Obstructive sleep apnea syndrome has become an important public health
concern. Polysomnography is traditionally considered an established and effective …

The identification of Obstructive Sleep Apnea (OSA) relies on laborious and expensive
polysomnography (PSG) exams. However, it is known that other factors, easier to measure …

As the incidence of obstructive sleep apnea syndrome (OSAS) increases worldwide, the
need for a new screening method that can compensate for the shortcomings of the …

Abstract Study Objectives Polysomnography is the gold standard for diagnosis of obstructive
sleep apnea (OSA) but it is costly and access is often limited. The aim of this study is to …

Purpose To develop and evaluate a model for obstructive sleep apnea (OSA) detection
using an artificial neural network (ANN) based on the combined features of body mass index …

Study objectives Obstructive sleep apnea (OSA) is a major concern in modern medicine;
however, it is difficult to diagnose. Screening questionnaires such as the Berlin …

Obstructive sleep apnea is linked to severe health consequences such as hypertension,
daytime sleepiness, and cardiovascular disease. Nearly a billion people are estimated to …

Study objectives Clinical prediction models for the diagnosis of obstructive sleep apnea
(OSA) have lacked the accuracy necessary to confidently replace polysomnography (PSG) …

Background Prediction tools without patient-reported symptoms could facilitate widespread
identification of OSA. Research Question What is the diagnostic performance of OSA …

To develop an applicable prediction for obstructive sleep apnea (OSA) is still a challenge in
clinical practice. We apply a modern machine learning method, the support vector machine …