Multiobjective Optimization of Interpretable Fuzzy Systems and Applicable Subjects for Fast Estimation of Obstructive Sleep Apnea-Hypopnea Severity

This article proposes an interpretable fuzzy estimation system (IFES) for fast estimation of severity of obstructive sleep apnea-hypopnea syndrome (OSAHS) using three easily available physiological variables: neck circumference, waist circumference, and average blood pressure after waking up. The IF...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 31; H. 7; S. 2225 - 2237
Hauptverfasser:	Juang, Chia-Feng, Pan, Guan-Ren, Huang, Wei-Chang, Wen, Chih-Yu, Wu, Ming-Feng
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.07.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Apnea-hypopnea index (AHI) Estimation evolutionary fuzzy systems Fuzzy neural networks Fuzzy systems Genetic algorithms Hypertension Indexes interpretable AI Medical diagnostic imaging multiobjective optimization Multiple objective analysis obstructive sleep apnea Optimization Performance evaluation Screening Sleep apnea
ISSN:	1063-6706, 1941-0034
Online-Zugang:	Volltext
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