Background Obstructive sleep apnea (OSA) is a globally prevalent disease with a complex
diagnostic method. Severe OSA is associated with multi-system dysfunction. We aimed to …

Objectives: To evaluate the role of clinical scores assessing the risk of disease severity in
patients with clinical suspicion of obstructive sleep apnea syndrome (OSA). The hypothesis …

Age, sex, and body mass index (BMI) were associated with obstructive sleep apnea (OSA).
Although various methods have been used in OSA prediction, this study aimed to develop …

Background OSA is an independent risk factor for several systemic diseases. Compared
with mild OSA, patients with moderate-to-severe OSA have more severe impairment in the …

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 …

Abstract Obstructive Sleep Apnea (OSA) is the most common breathing-related sleep
disorder, leading to increased risk of health problems. In this study, we investigated and …

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 …

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 …

Background American Academy of Sleep Medicine guidelines suggest that clinical
prediction algorithms can be used to screen patients with obstructive sleep apnea (OSA) …

This study aimed to investigate the applicability of machine learning to predict obstructive
sleep apnea (OSA) among individuals with suspected OSA in South Korea. A total of 92 …