Study Objective: Obstructive sleep apnea (OSA) is a treatable contributor to morbidity and
mortality. However, most patients with OSA remain undiagnosed. We used a new machine …

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

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

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 …

Study Objectives: Home sleep apnea testing (HSAT) is an efficient and cost-effective method
of diagnosing obstructive sleep apnea (OSA). However, nondiagnostic HSAT necessitates …

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 …

Obstructive sleep apnea (OSA) is a common, chronic, sleep-related breathing disorder
characterized by partial or complete airway obstruction in sleep. The gold standard …

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 …

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 …

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 …