A systematic review of predictive blood donor retention models.
Nahashon Kiarie,
Amos Chege Kirongo,
Mary Mwadulo
Abstract:Demand for blood and blood products is increasing due to population growth, medical advances, and increased disease. Availability of a stable blood supply is critical for healthcare organizations and requires effective donor recruitment and retention strategies. This systematic review paper examines the development and implementation of predictive models using machine learning techniques to classify and predict blood donor retention rates. The aim is to analyze the existing literature and provide insights int… Show more
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