Machine learning-based prediction of mortality in acute myocardial infarction with cardiogenic shock
Employing the LR algorithm, we developed a predictive model for assessing the mortality risk among AMI-CS patients in the ICU setting. Through model predictions, this facilitates early detection of high-risk individuals, ensures judicious allocation of healthcare resources.
Authors
- Lizhen Xu (ORCID: https://orcid.org/0000-0002-8603-9891)
- Zhiyi Xie
- Xiaohong Huang
- Weibin He
- Qitian Zhang
Institutions
- Fujian Medical University (CN)
- Zhangzhou Municipal Hospital of Fujian Province (CN)
- Fujian Provincial Hospital (CN)
- Fuzhou University (CN)
Publication Details
- Journal
- Frontiers in Cardiovascular Medicine
- Published
- 2024-10-14
- DOI
- https://doi.org/10.3389/fcvm.2024.1402503
- Citations
- 12
- Primary Topic
- Heart Failure Treatment and Management
- Type
- article
- Field-Weighted Citation Impact
- 4.82