Machine learning models for predicting risks of MACEs for myocardial infarction patients with different VEGFR2 genotypes
Our ML-based approach demonstrated that the VEGFR-2 genotype is associated with an increased risk of MACEs in MI patients. However, the risk can be significantly reduced by high-dose statins and positive factors such as the absence of coronary artery lesions, absence of diabetes, and younger age.
Authors
- К. Yu. Nikolaev (ORCID: https://orcid.org/0000-0003-4601-6203)
- M. Yu. Donnikov (ORCID: https://orcid.org/0000-0003-0120-4163)
- Л. В. Коваленко (ORCID: https://orcid.org/0000-0002-0918-7129)
- Maria Poptsova (ORCID: https://orcid.org/0000-0002-7198-8234)
- Е. М. Zelenskaya (ORCID: https://orcid.org/0000-0001-9513-0366)
- Г. И. Лифшиц (ORCID: https://orcid.org/0000-0001-9048-7710)
- И. А. Урванцева
- А. С. Воробьев
- Alexander Kirdeev
- Konstantin Burkin
- Elena Zbirovskaya
Institutions
- National Research University Higher School of Economics (RU)
- Moscow International Higher Business School (RU)
- Institute of Chemical Biology and Fundamental Medicine (RU)
- Surgut State University (RU)
- Institute of Cytology and Genetics (RU)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2024-09-05
- DOI
- https://doi.org/10.3389/fmed.2024.1452239
- Citations
- 5
- Primary Topic
- Coronary Interventions and Diagnostics
- Type
- article
- Field-Weighted Citation Impact
- 2.86