Prediction of blood donor return behaviour using machine learning

MLMs leveraging both behavioural and demographic variables can predict and identify high-return-rate donors by prioritizing return thresholds. Precision marketing significantly improves donor return rates, enabling blood banks to rapidly meet transfusion demands during emergencies.

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Publication Details

Journal
Vox Sanguinis
Published
2025-10-20
DOI
https://doi.org/10.1111/vox.70139
Citations
1
Primary Topic
Blood donation and transfusion practices
Type
article
Field-Weighted Citation Impact
2.76
Controls
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article

Prediction of blood donor return behaviour using machine learning

Hao‐Hsuan Chung, Cheng‐Hung Yeh, C.-J. Hung, W. Su
1 citations
Vox Sanguinis
Blood donation and transfusion practices
2.76
article

Prediction of blood donor return behaviour using machine learning

Hao‐Hsuan Chung, Cheng‐Hung Yeh, C.-J. Hung, W. Su
article en
1 citations

Abstract

MLMs leveraging both behavioural and demographic variables can predict and identify high-return-rate donors by prioritizing return thresholds. Precision marketing significantly improves donor return rates, enabling blood banks to rapidly meet transfusion demands during emergencies.

Vox Sanguinis
National Taiwan University of Science and Technology (TW), Foundation for Blood Research (US)
Openalex Percentile: Top 8%
Blood donation and transfusion practices
2.76
DOISourceOpenAlex
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