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Explainable haemoglobin deferral predictions using machine learning models: Interpretation and consequences for the blood supply

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Accurate predictions of haemoglobin (Hb) deferral for whole‐blood donors could aid blood banks in reducing deferral rates and increasing efficiency and donor motivation. Complex models are needed to make accurate… Click to show full abstract

Accurate predictions of haemoglobin (Hb) deferral for whole‐blood donors could aid blood banks in reducing deferral rates and increasing efficiency and donor motivation. Complex models are needed to make accurate predictions, but predictions must also be explainable. Before the implementation of a prediction model, its impact on the blood supply should be estimated to avoid shortages.

Keywords: deferral predictions; predictions using; haemoglobin deferral; explainable haemoglobin; blood supply

Journal Title: Vox Sanguinis
Year Published: 2022

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