Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease: A Machine Learning Approach
Subramaniam R, Kane M, Krishnamurti L. Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease: A Machine Learning Approach. Blood 2023, 142: 1058. DOI: 10.1182/blood-2023-178352.Peer-Reviewed Original ResearchIncorporation of uncertaintyModel selectionModel versatilityQuantifying uncertaintyML methodsHematopoietic cell transplantationSupervised random forest modelSuch modelsSickle cell diseaseThreshold δML modelsModel confidenceAverage probabilityMachine learning methodsIncorrect resultsPredictive model performancePositive predictive valueUnknown dataAcceptable AUCPredictive modelUncertaintyVariables of interestHigh accuracyArithmetic meanCell transplantation