Prediction of Response of Hepatocellular Carcinoma to Radioembolization: Machine Learning Using Preprocedural Clinical Factors and MR Imaging Radiomics
Okan İnce, Hakan Önder, Mehmet Gençtürk, Hakan Cebeci, Jafar Golzarian, Shamar Young
Topics & Concepts
Random forestMedicineFeature selectionRadiomicsLogistic regressionReceiver operating characteristicInterquartile rangeSupport vector machineArtificial intelligenceWilcoxon signed-rank testHepatocellular carcinomaMagnetic resonance imagingFeature (linguistics)Intraclass correlationMachine learningPattern recognition (psychology)Nuclear medicineRadiologyComputer scienceMann–Whitney U testSurgeryInternal medicinePhilosophyPsychometricsLinguisticsClinical psychologyHepatocellular Carcinoma Treatment and PrognosisRadiomics and Machine Learning in Medical ImagingCholangiocarcinoma and Gallbladder Cancer Studies