Multiple machine-learning-driven metabolic frameworks for long-term prognostic risk assessment in patients with coexisting hypertension and obstructive sleep apnea:insights from a multicenter cohort study

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Journal
Frontiers in Physiology
Published
2026-02-24
DOI
https://doi.org/10.3389/fphys.2026.1739374
Primary Topic
Obstructive Sleep Apnea Research
Type
article
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article

Multiple machine-learning-driven metabolic frameworks for long-term prognostic risk assessment in patients with coexisting hypertension and obstructive sleep apnea:insights from a multicenter cohort study

Yijun WANG, Yanan Xu, Hongchang Zhao, Yi-Xiang Wang et al.
Frontiers in Physiology
Obstructive Sleep Apnea Research
article

Multiple machine-learning-driven metabolic frameworks for long-term prognostic risk assessment in patients with coexisting hypertension and obstructive sleep apnea:insights from a multicenter cohort study

Yijun WANG, Yanan Xu, Hongchang Zhao, Yi-Xiang Wang, Qiong Xu, Yi Yang, Shuo Liu, Shoupeng Duan
article en

Abstract

No abstract available for this paper.
Frontiers in PhysiologyVol. 17
Xinjiang Medical University (CN), Anhui Medical University (CN), Sichuan University (CN), First Affiliated Hospital of Xinjiang Medical University (CN), Wuhan University (CN), Beijing Xuanwu Traditional Chinese Medicine Hospital (CN), First Affiliated Hospital of Anhui Medical University (CN), Renmin Hospital of Wuhan University (CN), First Affiliated Hospital of Bengbu Medical College (CN)
Openalex Percentile: Top 44%
Obstructive Sleep Apnea Research
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