Development of a Prototype Clinical Decision Support Tool for a Machine Learning Based Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease
Subramaniam R, Kane M, Krishnamurti L. Development of a Prototype Clinical Decision Support Tool for a Machine Learning Based Individualized Prediction of Outcomes of Hematopoietic Cell Transplantation for Sickle Cell Disease. Transplantation And Cellular Therapy 2024, 30: s65-s66. DOI: 10.1016/j.jtct.2023.12.104.Peer-Reviewed Original ResearchHematopoietic cell transplantationOutcomes of hematopoietic cell transplantationSickle cell diseasePositive predictive valueDecision support toolMachine-learningClinical decision support toolCell transplantationBalanced accuracyGraft failureSupport toolFold cross validationDecision-making methodPositive outcomesPredictive valueGVHD prophylaxis regimensEvent-free survivalBinary classifierUser inputRelevant clinical parametersReceiver operating characteristic curvePrototype decision support toolTraining datasetOperating characteristics curveTest dataset