Machine learning prediction of no reflow in patients with ST-segment elevation myocardial infarction undergoing primary percutaneous coronary intervention
A LR model was successfully developed through ML to forecast NRF phenomena in STEMI patients undergoing pPCI. A web-based application derived from the LR model facilitates clinical implementation.
Authors
- Zeyan Liu (ORCID: https://orcid.org/0000-0001-9237-7603)
- Pei Bao (ORCID: https://orcid.org/0000-0001-8923-2243)
- Guangquan Hu
- Xiaochen Wang (ORCID: https://orcid.org/0000-0003-2901-2075)
- Banglong Xu
- Lin Wang (ORCID: https://orcid.org/0000-0003-3033-4792)
Institutions
- Anhui Medical University (CN)
- Second Affiliated Hospital of Anhui Medical University (CN)
Publication Details
- Journal
- Cardiovascular Diagnosis and Therapy
- Published
- 2024-08-01
- DOI
- https://doi.org/10.21037/cdt-24-83
- Citations
- 1
- Primary Topic
- Acute Myocardial Infarction Research
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Anhui Medical University