Classification of coronary artery disease using radial artery pulse wave analysis via machine learning
Radial artery pulse wave can be used to identify healthy, hypertensive and CAD participants by using Extra Trees Classifier. This method provides a potential pathway to recognize CAD patients by using a simple, non-invasive, and cost-effective technique.
Authors
- Jing Hong (ORCID: https://orcid.org/0000-0003-3364-1173)
- Haixia Yan (ORCID: https://orcid.org/0000-0002-1963-3292)
- Yujie Xiong (ORCID: https://orcid.org/0000-0002-1995-8257)
- Rui Guo (ORCID: https://orcid.org/0000-0002-5294-923X)
- Yiqin Wang (ORCID: https://orcid.org/0000-0002-0280-7495)
- Jin Xu (ORCID: https://orcid.org/0000-0002-6021-5551)
- Haimei Wu
- Yi Lyu
- Rong Lyu
- Wen-Yue Huang
- Rui Chen (ORCID: https://orcid.org/0000-0002-0696-3313)
Institutions
- Shanghai University (CN)
- Shanghai University of Engineering Science (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Guangdong Provincial Hospital of Traditional Chinese Medicine (CN)
- Institute of Software (CN)
- Shanghai University of Medicine and Health Sciences (CN)
- Shuguang Hospital (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1186/s12911-024-02666-1
- Citations
- 11
- Primary Topic
- Non-Invasive Vital Sign Monitoring
- Type
- article
- Field-Weighted Citation Impact
- 2.03
Funders
- National Natural Science Foundation of China