A life-threatening bleeding prediction model for immune thrombocytopenia (IMAGE)
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The machine learning-based online application for predict critical immune thrombocytopenia (ITP) bleeding exhibited good predictive capabilities for training, validation, and test datasets. This convenient web-based tool based on a novel algorithm can rapidly identify the bleeding risk profile of patients with ITP and facilitate clinical decision-making and reduce the occurrence of adversities.
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