Marieke Vinkenoog, Jarkko Toivonen, Tinus Brits, Dorien de Clippel, Veerle Compernolle, Surendra Karki, Marijke Welvaert, Amber Meulenbeld, Katja van den Hurk, Joost van Rosmalen, Emmanuel Lesaffre, Mikko Arvas, Mart Janssen
BACKGROUND AND OBJECTIVES: Blood banks use a haemoglobin (Hb) threshold before blood donation to minimize donors' risk of anaemia. Hb prediction models may guide decisions on which donors to invite, and should ideally also be generally applicable, thus in different countries and settings. In this paper, we compare the outcome of various prediction models in different settings and highlight differences and similarities. MATERIALS AND METHODS: Donation data of repeat donors from the past 5 years of Australia, Belgium, Finland, the Netherlands and South Africa were used to fit five identical prediction models: logistic regression, random forest, support vector machine, linear mixed model and dynamic linear mixed model...
March 16, 2023: Vox Sanguinis