A prediction model based on an artificial intelligence system for moderate to severe obstructive sleep apnea |
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| Authors: | Lei Ming Sun Hung-Wen Chiu Chih Yuan Chuang Li Liu |
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| Affiliation: | (1) Graduate Institute of Medical Informatics, Taipei Medical University, 252, Wu-Hsin Street, Taipei, 110, Taiwan;(2) Sleep Center of Far Eastern Medical Hospital, Taipei, Taiwan; |
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| Abstract: | 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 questionnaire, Rome questionnaire, and BASH'IM score are used to identify patients with OSA. However, the sensitivity and specificity of these tools are not satisfactory. We aim to introduce an artificial intelligence method to screen moderate to severe OSA patients (apnea–hypopnea index ≧15). |
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