Use of Support Vector Machines Approach via ComBat Harmonized Diffusion Tensor Imaging for the Diagnosis and Prognosis of Mild Traumatic Brain Injury: A CENTER-TBI Study

Pinto, Maira SiqueiraMaira SiqueiraPintoWinzeck, StefanStefanWinzeckKornaropoulos, Evgenios N.Evgenios N.KornaropoulosRichter, SophieSophieRichterPaolella, RobertoRobertoPaolellaCorreia, Marta M.Marta M.CorreiaGlocker, BenBenGlockerWilliams, GuyGuyWilliamsVik, AnneAnneVikPosti, Jussi P.Jussi P.PostiHaberg, AstaAstaHabergStenberg, JonasJonasStenbergGuns, Pieter-JanPieter-JanGunsden Dekker, ArnoldArnoldden DekkerMenon, David K.David K.MenonSijbers, JanJanSijbersVan Dyck, PieterPieterVan DyckNewcombe, Virginia F. J.Virginia F. J.Newcombe2023-08-072023-06-052023-08-0720230897-7151WOS:000989153700001https://imec-publications.be/handle/20.500.12860/41691Use of Support Vector Machines Approach via ComBat Harmonized Diffusion Tensor Imaging for the Diagnosis and Prognosis of Mild Traumatic Brain Injury: A CENTER-TBI StudyJournal article10.1089/neu.2022.0365WOS:000989153700001OUTCOME PREDICTIONMRICLASSIFICATIONBIOMARKERSMODELSCAREMEDLINE:36974359