Modified Bald Eagle Search Algorithm with Deep Learning-Driven Sleep Quality Prediction for Healthcare Monitoring Systems

Sleep habits are strongly related to health behaviors, with sleep quality serving as a major health indicator. Current approaches for evaluating sleep quality, namely polysomnography and questionnaires, are often time-consuming, costly, or invasive. Thus, there is a pressing need for a more convenie...

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Veröffentlicht in:	IEEE access Jg. 11; S. 1
Hauptverfasser:	Alabdan, Rana, Mengash, Hanan Abdullah, Maray, Mohammed, Alotaibi, Faiz, Abdelbagi, Sitelbanat, Mahmud, Ahmed
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.01.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Algorithms Artificial intelligence Deep learning Health care Healthcare monitoring Machine learning Medical services Monitoring Monitoring systems Parameter tuning Prediction algorithms Prediction models Predictive models Search algorithms Sleep Sleep apnea Sleep quality prediction Tuning
ISSN:	2169-3536, 2169-3536
Online-Zugang:	Volltext
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