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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...
Autores principales: | Kim, Mira, Chae, Kyunghee, Lee, Seungwoo, Jang, Hong-Jun, Kim, Sukil |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
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 |
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