EagleEye: A Worldwide Disease-Related Topic Extraction System Using a Deep Learning Based Ranking Algorithm and Internet-Sourced Data.

Jang, Beakcheol; Kim, Myeonghwi; Kim, Inhwan; Kim, Jong Wook

Jang, Beakcheol; Kim, Myeonghwi; Kim, Inhwan; Kim, Jong Wook.

Afiliación

Jang B; Graduate School of Information, Yonsei Univeristy, Seoul 03722, Korea.
Kim M; Department of Computer Science, Sangmyung University, Seoul 03016, Korea.
Kim I; Graduate School of Information, Yonsei Univeristy, Seoul 03722, Korea.
Kim JW; Department of Computer Science, Sangmyung University, Seoul 03016, Korea.

Sensors (Basel) ; 21(14)2021 Jul 07.

Article en En | MEDLINE | ID: mdl-34300403

Asunto(s)

Enfermedades Transmisibles; Aprendizaje Profundo; Medios de Comunicación Sociales; Algoritmos; Brotes de Enfermedades; Humanos; Internet

Palabras clave

BiLSTM; TF-IDF; WBiLSTM-TF-IDF; Word2Vec; disease-related topic ranking; internet-sourced data

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Enfermedades Transmisibles / Medios de Comunicación Sociales / Aprendizaje Profundo Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Sensors (Basel) Año: 2021 Tipo del documento: Article

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