Numerical modeling and prediction of late estimated glomerular filtration rate in kidney transplant recipients based on machine learning models and the Monte Carlo simulation method
Advanced numerical methods for kidney transplant patients' therapy are step forward in optimization of current immunosuppressive protocols.
Authors
- Dragana Pavlovič (ORCID: https://orcid.org/0000-0001-6048-4834)
- Ivan Pavlović (ORCID: https://orcid.org/0000-0003-0062-4342)
- Masa Jovic
- Nikola Despenić (ORCID: https://orcid.org/0000-0002-4387-1688)
- Tatjana Cvetković (ORCID: https://orcid.org/0000-0001-6616-4380)
- Branka Mitić (ORCID: https://orcid.org/0000-0001-9370-8865)
- Nikola Stefanović
- Radmila Velicković-Radovanović
Institutions
- University of Nis (RS)
Publication Details
- Journal
- Biomedizinische Technik/Biomedical Engineering
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1515/bmt-2025-0491
- Primary Topic
- Renal Transplantation Outcomes and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00