2024
Performance of Artificial Intelligence Content Detectors Using Human and Artificial Intelligence-Generated Scientific Writing
Flitcroft M, Sheriff S, Wolfrath N, Maddula R, McConnell L, Xing Y, Haines K, Wong S, Kothari A. Performance of Artificial Intelligence Content Detectors Using Human and Artificial Intelligence-Generated Scientific Writing. Annals Of Surgical Oncology 2024, 31: 6387-6393. PMID: 38909113, DOI: 10.1245/s10434-024-15549-6.Peer-Reviewed Original Research
2023
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
This site is protected by hCaptcha and its Privacy Policy and Terms of Service apply