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Yanuo Zhou

Explore the profile of Yanuo Zhou including associated specialties, affiliations and a list of published articles. Areas
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Citations 10
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Recent Articles
1.
Yuan Y, Ma L, Chang H, Su Y, Zhu S, Zhou Y, et al.
Eur J Pediatr . 2025 Mar; 184(4):244. PMID: 40072637
No abstract available.
2.
Zhang Y, Zhou L, Zhu S, Zhou Y, Wang Z, Ma L, et al.
Nat Sci Sleep . 2025 Jan; 17():1-15. PMID: 39801628
Purpose: To develop a deep learning (DL) model for obstructive sleep apnea (OSA) detection and severity assessment and provide a new approach for convenient, economical, and accurate disease detection. Methods:...
3.
Su Y, Wang Z, Chang H, Zhu S, Zhou Y, Cao Z, et al.
Nat Sci Sleep . 2024 Dec; 16:2151-2170. PMID: 39723200
Purpose: Aimed to analyze the developmental characteristics of craniofacial structures and soft tissues in children with obstructive sleep apnea (OSA) and to establish and evaluate prediction model. Methods: It's a...
4.
Yuan Y, Ma L, Chang H, Su Y, Zhu S, Zhou Y, et al.
Eur J Pediatr . 2024 Nov; 184(1):53. PMID: 39612016
Conclusion: The nomogram with satisfactory performance was constructed as a robust tool for evaluating the risk of obstructive sleep apnea in children. What Is Known: • Obstructive sleep apnea (OSA)...
5.
Shi Y, Ma L, Zhu S, Zhou Y, Cao Z, Wang Z, et al.
Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi . 2024 Nov; 38(11):1024-1030. PMID: 39534893
This study aimed to construct a risk prediction model for obstructive sleep apnea(OSA) related hypertension based on the nomogram, and to explore the independent risk factors for OSA-related hypertension, so...
6.
Zhang Y, Shi Y, Su Y, Cao Z, Li C, Xie Y, et al.
J Sleep Res . 2024 Jul; 34(1):e14285. PMID: 39021352
Developing a convenient detection method is important for diagnosing and treating obstructive sleep apnea. Considering availability and medical reliability, we established a deep-learning model that uses single-lead electrocardiogram signals for...
7.
Shi H, Cao Y, Zeng Y, Zhou Y, Wen W, Zhang C, et al.
Talanta . 2022 Jan; 240:123208. PMID: 34998143
Sweat sensor has become one of the most important developing directions of in vitro wearable diagnostic device in recent years. Stable sweat collecting device is the key to realize sweat...