Machine learning methods for adult OSAHS risk prediction

• Κύριοι συγγραφείς: Shanshan Ge (Συγγραφέας), Kainan Wu (Συγγραφέας), Shuhui Li (Συγγραφέας), Ruiling Li (Συγγραφέας), Caizheng Yang (Συγγραφέας)
• Μορφή: Βιβλίο
• Έκδοση: BMC, 2024-06-01T00:00:00Z.
• Θέματα: article
• Διαθέσιμο Online: Connect to this object online.

Abstract Background Obstructive sleep apnea hypopnea syndrome (OSAHS) is a common disease that can cause multiple organ damage in the whole body. Our aim was to use machine learning (ML) to build an independent polysomnography (PSG) model to analyze risk factors and predict OSAHS. Materials and meth...