Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning
AO correlates positively with CVD. Age, hypertension, PIR affect CVD risk most in general. For AO patients, education, gender, ethnicity are key CVD risk factors.
Authors
- X. L. Cao (ORCID: https://orcid.org/0000-0002-7373-9223)
- Chuantao Zhang (ORCID: https://orcid.org/0000-0003-1212-971X)
- Yaqi Wang (ORCID: https://orcid.org/0000-0002-8003-6251)
- Yang Yang (ORCID: https://orcid.org/0000-0002-5070-4511)
- Yufei Liu (ORCID: https://orcid.org/0000-0002-7946-5358)
- Xiaoyi He
- Jianli Ma
Institutions
- Chengdu University of Traditional Chinese Medicine (CN)
- Columbia University (US)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1186/s12911-025-02885-0
- Citations
- 4
- Primary Topic
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Type
- article
- Field-Weighted Citation Impact
- 6.07