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. 2024 Jan 25:310:1444-1445.
doi: 10.3233/SHTI231236.

A Linguistic Analysis Examining the Impact of COVID-19 on Pneumonia Diagnosis and Disease Models

Alec B Chapman  1   2 , Kelly S Peterson  1   2 , Elizabeth Rutter  1 , Mckenna Nevers  1   2 , Jian Ying  1   2 , David Classen  1   2 , Makoto Jones  1   2 , Matthew Samore  1   2 , Barbara Jones  1   2
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A Linguistic Analysis Examining the Impact of COVID-19 on Pneumonia Diagnosis and Disease Models

Alec B Chapman et al. Stud Health Technol Inform. .

Abstract

Written clinical language embodies and reflects the clinician's mental models of disease. Prior to the COVID-19 pandemic, pneumonia was shifting away from concern for healthcare-associated pneumonia and toward recognition of heterogeneity of pathogens and host response. How these models are reflected in clinical language or whether they were impacted by the pandemic has not been studied. We aimed to assess changes in the language used to describe pneumonia following the COVID-19 pandemic.

Keywords: Biosurveillance; COVID-19; natural language processing and text mining; population health.

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