Hybridization of soft-computing algorithms with neural network for prediction obstructive sleep apnea using biomedical sensor measurements
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-022-06919-w.pdf
Reference63 articles.
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3. De Falco I, De Pietro G, Della Cioppa A, Sannino G, Scafuri U, Tarantino E (2019) Evolution-based configuration optimization of a deep neural network for the classification of obstructive sleep apnea episodes. Future Gener Comput Syst 98:377–391. https://doi.org/10.1016/j.future.2019.01.049
4. Dong Z, Xu X, Wang C, Cartledge S, Maddison R, Islam SMS (2020) Association of overweight and obesity with obstructive sleep apnoea: a systematic review and meta-analysis. Obes Med 17:100185
5. Chyad MH, Gharghan SK, Hamood HQ (2020) A survey on detection and prediction methods for sleep apnea. IOP Conf Ser: Mater Sci Eng 1:012102
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