Automated Classification of Online Sources for Infectious Disease Occurrences Using Machine-Learning-Based Natural Language Processing Approaches

Collecting valid information from electronic sources to detect the potential outbreak of infectious disease is time-consuming and labor-intensive. The automated identification of relevant information using machine learning is necessary to respond to a potential disease outbreak. A total of 2864 docu...

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Detalles Bibliográficos
Autores principales: Kim, Mira, Chae, Kyunghee, Lee, Seungwoo, Jang, Hong-Jun, Kim, Sukil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766498/
https://www.ncbi.nlm.nih.gov/pubmed/33348764
http://dx.doi.org/10.3390/ijerph17249467

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7766498/
https://www.ncbi.nlm.nih.gov/pubmed/33348764
http://dx.doi.org/10.3390/ijerph17249467

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