Abstract

Due to changes in dietary habits and demographic structure, obstructive sleep apnea with obesity and aging as risk factors has become an important public health issue. The aim of this study is to investigate the relationships between demographics features as well as sleep characteristics of patients and severity of OSA and using easily available measurements to develop a simple model for rapidly identify OSA patients.

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