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Biomedical signals and machine learning in amyotrophic lateral sclerosis: a systematic review.
Fernandes, Felipe; Barbalho, Ingridy; Barros, Daniele; Valentim, Ricardo; Teixeira, César; Henriques, Jorge; Gil, Paulo; Dourado Júnior, Mário.
Afiliação
  • Fernandes F; Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil. felipe.ricardo@lais.huol.ufrn.br.
  • Barbalho I; Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
  • Barros D; Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
  • Valentim R; Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
  • Teixeira C; Department of Informatics Engineering, Univ Coimbra, CISUC-Center for Informatics and Systems of the University of Coimbra, Coimbra, Portugal.
  • Henriques J; Department of Informatics Engineering, Univ Coimbra, CISUC-Center for Informatics and Systems of the University of Coimbra, Coimbra, Portugal.
  • Gil P; Department of Informatics Engineering, Univ Coimbra, CISUC-Center for Informatics and Systems of the University of Coimbra, Coimbra, Portugal.
  • Dourado Júnior M; Laboratory of Technological Innovation in Health (LAIS), Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil.
Biomed Eng Online ; 20(1): 61, 2021 Jun 15.
Article em En | MEDLINE | ID: mdl-34130692
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esclerose Lateral Amiotrófica Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Esclerose Lateral Amiotrófica Tipo de estudo: Guideline / Prognostic_studies / Systematic_reviews Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article