Development and validation of a nomogram model to predict coronary heart disease in snoring patients with hypertension and non-glucose metabolism disorders
So, our study proposed an effective nomogram model with potential application value for individualized prediction of coronary heart disease outcomes in snoring individuals with hypertension, excluding glucose metabolism disorders. And "AI" was proposed as a novel predictor.
Authors
- Xintian Cai (ORCID: https://orcid.org/0000-0003-3172-1540)
- Menghui Wang (ORCID: https://orcid.org/0000-0002-6994-4339)
- Liang Ming (ORCID: https://orcid.org/0000-0002-3622-3965)
- Nanfang Li (ORCID: https://orcid.org/0000-0003-1505-8566)
- Zhen Wei (ORCID: https://orcid.org/0009-0003-2018-4601)
- Xiaoguang Yao
Institutions
- People's Hospital of Xinjiang Uygur Autonomous Region (CN)
- Hypertension Institute (US)
Publication Details
- Journal
- Journal of Medical Biochemistry
- Published
- 2025-01-01
- DOI
- https://doi.org/10.5937/jomb0-57804
- Primary Topic
- Obstructive Sleep Apnea Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00