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The Use of Machine Learning to Predict and Diagnosis Multiple Sclerosis: A Systematic Review

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ePoster station 5

Poster

The Use of Machine Learning to Predict and Diagnosis Multiple Sclerosis: A Systematic Review

Themen

  • Big data projects
  • Multiple sclerosis

Mitwirkende

Amanda Cyntia Lima Fonseca Rodrigues (Curitiba/ BR), Sérgio Walmir de Araújo (Joinville/ BR), André Saul Crestani (Curitiba/ BR), Edson Vieira Nascimento (Curitiba/ BR), Gabriella Mesquita Bonfim (São Paulo/ BR), Maria Vitória Delgobbo Pereira (Curitiba/ BR), Maria Letícia Ribeiro Lodo (São Paulo/ BR), Renato do Couto Soares Caversan (Birigüi/ BR), Isabelle Audacio Ramos Fernandez (Marília/ BR), Mirella Zago Mazzini (Marília/ BR), Rodrigo Carlos Soares (São Paulo/ BR), Sophia Bazo Diniz (Araras/ BR), Mariana Lorini Rodrigues (São Paulo/ BR), Maria Paula Batista Aveaneda (Marília/ BR), Vitória Alves da Silva (São Paulo/ BR), Alexandra Magna Garib (Marília/ BR), Laura Luminati Picolo de Oliveira (Marília/ BR), Carlos Eduardo Bazo Diniz (Itaperuna/ BR), Yuri Ribeiro Basseto (Marília/ BR), Lidiely Kassburg Mello (São Paulo/ BR), Isadora Biglia Diniz (Assis/ BR), Richard Agustinho Rodrigues (Araçatuba/ BR), Lorena Correia da Cruz (Assis/ BR), Natália Mazetto Rocha (Assis/ BR), Vitor Emanuel Gomes Lomba (Assis/ BR), Samir Fortes Garib Batista (Adamantina/ BR), Bruna Amaraisa da Silva (São Paulo/ BR), Anthonny Toyokytty Yoshida (Assis/ BR), Anna Lydia Machado Silva (São Paulo/ BR)

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