Corrigendum to Longitudinal machine learning modeling of MS patient trajectories improves predictions of disability progression: [Computer Methods and Programs in Biomedicine, Volume 208, (September 2021) 106180].
Edward De BrouwerThijs BeckerYves MoreauEva Kubala HavrdovaMaria TrojanoSara EichauSerkan OzakbasMarco OnofrjPierre GrammondJens KuhleLudwig KapposPatrizia SolaElisabetta CartechiniJeannette Lechner-ScottRaed AlroughaniOliver GerlachTomas KalincikFranco GranellaFrancois Grand'MaisonRoberto BergamaschiMaria Jose SaBart Van WijmeerschAysun SoysalJose Luis Sanchez-MenoyoClaudio SolaroCavit BozGerardo IulianoKatherine BuzzardEduardo Aguera-MoralesMurat TerziTamara Castillo TrivioDaniele SpitaleriVincent Van PeschVahid ShaygannejadFraser MooreCelia Oreja GuevaraDavide MaimoneRiadh GouiderTunde CsepanyCristina Ramo-TelloLiesbet M. PeetersPublished in: Comput. Methods Programs Biomed. (2022)
Keyphrases
- machine learning
- machine learning methods
- computer vision
- statistical methods
- machine learning approaches
- ambient intelligence
- decision support system
- computational intelligence
- significant improvement
- support vector machine
- text mining
- computational cost
- intelligent systems
- computer systems
- benchmark datasets
- active learning
- preprocessing
- pattern recognition
- reinforcement learning