Artificial Intelligence-based predictive models for adverse blood donor reactions: a systematic review of immediate and delayed events and clinical data approaches.
- DOI
- 10.1186/s12911-026-03584-0
- Published
- 2026 May 25
- Container
- BMC medical informatics and decision making
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1186/s12911-026-03584-0,
title = {Artificial Intelligence-based predictive models for adverse blood donor reactions: a systematic review of immediate and delayed events and clinical data approaches.},
author = {ShojaeiBaghini M and Ghaemi MM and Ahmadipour A},
year = {2026},
journal = {BMC medical informatics and decision making},
doi = {10.1186/s12911-026-03584-0},
url = {https://doi.org/10.1186/s12911-026-03584-0}
}RIS
TY - JOUR TI - Artificial Intelligence-based predictive models for adverse blood donor reactions: a systematic review of immediate and delayed events and clinical data approaches. AU - ShojaeiBaghini M AU - Ghaemi MM AU - Ahmadipour A PY - 2026 JO - BMC medical informatics and decision making DO - 10.1186/s12911-026-03584-0 UR - https://doi.org/10.1186/s12911-026-03584-0 ER -
APA
M, S., MM, G., & A, A. (2026). Artificial Intelligence-based predictive models for adverse blood donor reactions: a systematic review of immediate and delayed events and clinical data approaches.. BMC medical informatics and decision making. https://doi.org/10.1186/s12911-026-03584-0
Source records
- pubmed · retrieved 2026-09-26T12:07:14.614Z