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The Russian Drug Reaction Corpus and neural models for drug reactions and effectiveness detection in user reviews.
Tutubalina, Elena; Alimova, Ilseyar; Miftahutdinov, Zulfat; Sakhovskiy, Andrey; Malykh, Valentin; Nikolenko, Sergey.
Afiliação
  • Tutubalina E; Chemoinformatics and Molecular Modeling Laboratory, The Alexander Butlerov Institute of Chemistry, Kazan Federal University, Kazan 420008, Russian Federation.
  • Alimova I; Chemoinformatics and Molecular Modeling Laboratory, The Alexander Butlerov Institute of Chemistry, Kazan Federal University, Kazan 420008, Russian Federation.
  • Miftahutdinov Z; Chemoinformatics and Molecular Modeling Laboratory, The Alexander Butlerov Institute of Chemistry, Kazan Federal University, Kazan 420008, Russian Federation.
  • Sakhovskiy A; Chemoinformatics and Molecular Modeling Laboratory, The Alexander Butlerov Institute of Chemistry, Kazan Federal University, Kazan 420008, Russian Federation.
  • Malykh V; Chemoinformatics and Molecular Modeling Laboratory, The Alexander Butlerov Institute of Chemistry, Kazan Federal University, Kazan 420008, Russian Federation.
  • Nikolenko S; Chemoinformatics and Molecular Modeling Laboratory, The Alexander Butlerov Institute of Chemistry, Kazan Federal University, Kazan 420008, Russian Federation.
Bioinformatics ; 37(2): 243-249, 2021 04 19.
Article em En | MEDLINE | ID: mdl-32722774
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Preparações Farmacêuticas / Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans País como assunto: Asia / Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Preparações Farmacêuticas / Efeitos Colaterais e Reações Adversas Relacionados a Medicamentos Tipo de estudo: Diagnostic_studies / Prognostic_studies Limite: Humans País como assunto: Asia / Europa Idioma: En Ano de publicação: 2021 Tipo de documento: Article