Analysis and Identification of Sleep Apnea by availing Random Forest and SVM

• Published in: 2023 International Conference on Circuit Power and Computing Technologies (ICCPCT) pp. 176 - 180
• Main Authors: Asha, P., V, Sabarish, V, Vishnu, Yadav, G.J.N. Venkata Akhilesh, Hanumanthu, Yaswanth, Mary, A. Viji Amutha
• Format: Conference Proceeding
• Language: English
• Published: IEEE 10.08.2023
• Subjects: Artificial Intelligence; Atmospheric modeling; Django Framework; Graphical User Interface; Machine Learning; Prediction; Prediction algorithms; Predictive models; Sleep apnea; Sociology; Support vector machines; User interfaces; Web Application

Sleep problems have been the subject of extensive research throughout history. One of the significant sleep disorders that endanger human life is sleep apnea, which we commonly encounter today. This incident, which happens while the person is sleeping, also has an impact on their daily lives. The ob...