Identifying COVID-19 Outbreaks From Contact-Tracing Interview Forms for Public Health Departments: Development of a Natural Language Processing Pipeline

BACKGROUND: In Wisconsin, COVID-19 case interview forms contain free-text fields that need to be mined to identify potential outbreaks for targeted policy making. We developed an automated pipeline to ingest the free text into a pretrained neural language model to identify businesses and facilities...

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Detalles Bibliográficos
Autores principales: Caskey, John, McConnell, Iain L, Oguss, Madeline, Dligach, Dmitriy, Kulikoff, Rachel, Grogan, Brittany, Gibson, Crystal, Wimmer, Elizabeth, DeSalvo, Traci E, Nyakoe-Nyasani, Edwin E, Churpek, Matthew M, Afshar, Majid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906835/
https://www.ncbi.nlm.nih.gov/pubmed/35144241
http://dx.doi.org/10.2196/36119

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8906835/
https://www.ncbi.nlm.nih.gov/pubmed/35144241
http://dx.doi.org/10.2196/36119

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