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This paper is in the following e-collection/theme issue:

Theme Issue 2022: Health Natural Language Processing and Applications (CHIP) (27) Telehealth and Telemonitoring (2268) Natural Language Processing (997) JMIR Theme Issue: COVID-19 Special Issue (2571) Theme Issue: Medical Informatics and COVID-19 (126)

Published on in Vol 10, No 9 (2022): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37770, first published .
Woman on a video call with doctor, with thermometer and medicine on table.

Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning–Based Solution

Identifying the Perceived Severity of Patient-Generated Telemedical Queries Regarding COVID: Developing and Evaluating a Transfer Learning–Based Solution

Authors of this article:

Joseph Gatto1 Author Orcid Image ;   Parker Seegmiller1 Author Orcid Image ;   Garrett Johnston1 Author Orcid Image ;   Sarah Masud Preum1 Author Orcid Image
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