Machine learning-based prediction of fainting during blood donations using donor properties and weather data as features

BACKGROUND AND OBJECTIVES: Fainting is a well-known side effect of blood donation. Such adverse experiences can diminish the return rate for further blood donations. Identifying factors associated with fainting could help prevent adverse incidents during blood donation. MATERIALS AND METHODS: Data o...

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Detalles Bibliográficos
Autores principales: Suessner, Susanne, Niklas, Norbert, Bodenhofer, Ulrich, Meier, Jens
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392313/
https://www.ncbi.nlm.nih.gov/pubmed/35987636
http://dx.doi.org/10.1186/s12911-022-01971-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9392313/
https://www.ncbi.nlm.nih.gov/pubmed/35987636
http://dx.doi.org/10.1186/s12911-022-01971-x

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