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

• Main Authors: John Caskey (Author), Iain L McConnell (Author), Madeline Oguss (Author), Dmitriy Dligach (Author), Rachel Kulikoff (Author), Brittany Grogan (Author), Crystal Gibson (Author), Elizabeth Wimmer (Author), Traci E DeSalvo (Author), Edwin E Nyakoe-Nyasani (Author), Matthew M Churpek (Author), Majid Afshar (Author)
• Format: Book
• Published: JMIR Publications, 2022-03-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundIn 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 as...