Identifying tweets of personal health experience through word embedding and LSTM neural network.

Jiang, Keyuan; Feng, Shichao; Song, Qunhao; Calix, Ricardo A; Gupta, Matrika; Bernard, Gordon R

Jiang, Keyuan; Feng, Shichao; Song, Qunhao; Calix, Ricardo A; Gupta, Matrika; Bernard, Gordon R.

Afiliação

Jiang K; Department of Computer Information Technology and Graphics, Purdue University Northwest, Hammond, IN, USA. kjiang@pnw.edu.
Feng S; Department of Computer Information Technology and Graphics, Purdue University Northwest, Hammond, IN, USA.
Song Q; Department of Computer Information Technology and Graphics, Purdue University Northwest, Hammond, IN, USA.
Calix RA; Department of Computer Information Technology and Graphics, Purdue University Northwest, Hammond, IN, USA.
Gupta M; Department of Computer Information Technology and Graphics, Purdue University Northwest, Hammond, IN, USA.
Bernard GR; Department of Medicine, Vanderbilt University, Nashville, TN, USA.

BMC Bioinformatics ; 19(Suppl 8): 210, 2018 06 13.

Article em En | MEDLINE | ID: mdl-29897323

Assuntos

Saúde; Redes Neurais de Computação; Mídias Sociais; Vocabulário; Algoritmos; Humanos

Palavras-chave

Deep learning; Health surveillance; LSTM neural network; Pharmacovigilance; Social media; Twitter; Unsupervised feature learning

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Vocabulário / Saúde / Redes Neurais de Computação / Mídias Sociais Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: BMC Bioinformatics Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2018 Tipo de documento: Article País de afiliação: Estados Unidos

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