Prenatal Prediction of Umbilical Cord Blood CD34<sup>+</sup> Adequacy and Identifying Influential Factors via An Ensemble Machine Learning and TOPSIS Ranking: A Retrospective Study.
Prenatal prediction of UCB CD34<sup>+</sup> adequacy using an interpretable MV ensemble is feasible and accurate to support pre-collection triage and can potentially improve banking efficiency. The resultant model offers a non-invasive tool to enhance the efficiency of cord blood banking by prioritising units with higher transplantation potential.
Authors
- M. Zarabi
- Orod Ahmadi (ORCID: https://orcid.org/0000-0002-8879-5164)
- Mariam Ameli
- Amir Hosein Esmaielpour
- Ashkhan Mozdgir
Institutions
- Kharazmi University (IR)
- Royan Institute (IR)
- Academic Center for Education, Culture and Research (IR)
Publication Details
- Journal
- PubMed
- Published
- 2026-02-14
- DOI
- https://doi.org/10.22074/cellj.2025.2064741.1878
- Primary Topic
- Hematopoietic Stem Cell Transplantation
- Type
- article
- Field-Weighted Citation Impact
- 0.00