An exploration into the diagnostic capabilities of microRNAs for myocardial infarction using machine learning
An integrated framework for robust miRNA selection from omics data shows promise for developing accurate diagnostic models for early-stage MI detection. The HVE model demonstrated good performance despite differences between training and test datasets.
Authors
- Farhad Bani (ORCID: https://orcid.org/0000-0001-8497-781X)
- Kaveh Kavousi (ORCID: https://orcid.org/0000-0002-1906-3912)
- Mehrdad Samadishadlou
- Reza Rahbarghazi (ORCID: https://orcid.org/0000-0003-3864-9166)
Institutions
- Tabriz University of Medical Sciences (IR)
- University of Tehran (IR)
Publication Details
- Journal
- Biology Direct
- Published
- 2024-12-10
- DOI
- https://doi.org/10.1186/s13062-024-00543-5
- Citations
- 2
- Primary Topic
- Cardiovascular Function and Risk Factors
- Type
- article
- Field-Weighted Citation Impact
- 0.80
Funders
- Tabriz University of Medical Sciences
- University of Tabriz