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- Vol. 5 Issue 5
- Article
Sleeping Disorders Classification Using Machine Learning
Authors
1Assistant Professor, Department of Computer Science and Engineering, K.L.N. College of Engineering and Technology, Sivagangai, Tamilnadu, India. 2,3,4Student, Department of Computer Science and Engineering, K.L.N. College of Engineering and Technology, Sivagangai, Tamilnadu, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 5, Issue 5 (2024)
- Published Online
- September-October 2024
- Pages
- 19-21
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
[1]. Talal Sarheed Alshammari (2024). Applying Machine Learning Algorithms for the Classification of Sleep Disorders. IEEE Access,
12, 36110 - 36121
[2]. Mostafa M. Moussa,Ahsan H. Khandoker.(2022). Explainable ComputerAided Detection of Obstructive Sleep Apnea and
Depression.IEEE Access, 10, 110916 - 110933
[3]. Guangxin Zhou, Wenli Zhou, Yi Zhang, Zijing Zeng, Wei Zhao (2023). Automatic monitoring of obstructive sleep apnea based on
multimodal signals by phone and smartwatch, IEEE Access, 2375-7477
[4]. Meng Jiao, ShihaoYang,FengLiu,XiaochenXian,Changyue Song (2024). Deep Attention Networks with MultiTemporal Information
Fusion for Sleep Apnea Detection, IEEE Access, 1-11
12, 36110 - 36121
[2]. Mostafa M. Moussa,Ahsan H. Khandoker.(2022). Explainable ComputerAided Detection of Obstructive Sleep Apnea and
Depression.IEEE Access, 10, 110916 - 110933
[3]. Guangxin Zhou, Wenli Zhou, Yi Zhang, Zijing Zeng, Wei Zhao (2023). Automatic monitoring of obstructive sleep apnea based on
multimodal signals by phone and smartwatch, IEEE Access, 2375-7477
[4]. Meng Jiao, ShihaoYang,FengLiu,XiaochenXian,Changyue Song (2024). Deep Attention Networks with MultiTemporal Information
Fusion for Sleep Apnea Detection, IEEE Access, 1-11
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