A Data-Driven Method of Discovering Misspellings of Medication Names on Twitter.

Jiang, Keyuan; Chen, Tingyu; Huang, Liyuan; Calix, Ricardo A; Bernard, Gordon R

Jiang, Keyuan; Chen, Tingyu; Huang, Liyuan; Calix, Ricardo A; Bernard, Gordon R.

Afiliação

Jiang K; Department of Computer Information Technology and Graphics, Purdue University Northwest, U.S.A.
Chen T; Department of Computer Information Technology and Graphics, Purdue University Northwest, U.S.A.
Huang L; Department of Computer Information Technology and Graphics, Purdue University Northwest, U.S.A.
Calix RA; Department of Computer Information Technology and Graphics, Purdue University Northwest, U.S.A.
Bernard GR; Department of Medicine, Vanderbilt University, U.S.A.

Stud Health Technol Inform ; 247: 136-140, 2018.

Article em En | MEDLINE | ID: mdl-29677938

Assuntos

Farmacovigilância; Mídias Sociais; Humanos

Palavras-chave

Distributed word representation; Information retrieval; Misspellings; Pharmacovigilance; Postmarking surveillance; Relational similarity; Twitter

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Farmacovigilância / Mídias Sociais Limite: Humans Idioma: En Revista: Stud Health Technol Inform Assunto da revista: INFORMATICA MEDICA / PESQUISA EM SERVICOS DE SAUDE Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Holanda

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