Illustration depicting the inclusion criteria used in the selection of participants for the studies.
figure
posted on 2024-07-16, 17:24 authored by Silvia Campanioni, César Veiga, José María Prieto-González, José A. González-Nóvoa, Laura Busto, Carlos Martinez, Miguel Alberte-Woodward, Jesús García de Soto, Jessica Pouso-Diz, María de los Ángeles Fernández Ceballos, Roberto Carlos Agis-BalboaIllustration depicting the inclusion criteria used in the selection of participants for the studies.
History
Usage metrics
Categories
Keywords
shapley additive explanationsrevealing feature importanceproposed patient trajectoriespredict patient evolutionpersonalized patient managementidentifying influential features>&# 946 ;least two measurementsclassification xgboost modelsadvance predictive capabilitiesms holds promisesincorporating ai analysisexplainable machine learningdiv >< p>< sub xmlnsms trajectory descriptorsbaseline mri scansmachine learningtwo groupsthree descriptorspredictive modelingbaseline mriyear followtimely diagnosismultiple sclerosismodel developmentml modelsearly detectionartificial intelligenceaccurate diagnosis
Licence
Exports
RefWorks
BibTeX
Ref. manager
Endnote
DataCite
NLM
DC