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

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

Abstract 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...

Full description

Bibliographic Details
Main Authors: Susanne Suessner, Norbert Niklas, Ulrich Bodenhofer, Jens Meier
Format: Article
Language:English
Published: BMC 2022-08-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Blood donation
Fainting
Donor safety
Online Access:https://doi.org/10.1186/s12911-022-01971-x

Similar Items

Similar Items