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

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 …

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

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 …

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 …

Background Machine‐learning approaches have enabled promising results in efforts to
simplify the diagnosis of pediatric obstructive sleep apnea (OSA). A comprehensive review …

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 …

Obstructive sleep apnea syndrome (OSAS) is a pervasive disorder with an incidence
estimated at 5–14 percent among adults aged 30–70 years. It carries significant morbidity …

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

Objectives: The goal of this study is to evaluate the results of machine learning methods for
the classification of OSA severity of patients with suspected sleep disorder breathing as …