Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study

Moving Biosurveillance Beyond Coded Data Using AI for Symptom Detection From Physician Notes: Retrospective Cohort Study

BackgroundReal-time surveillance of emerging infectious diseases necessitates a dynamically evolving, computable case definition, which frequently incorporates symptom-related criteria. For symptom detection, both population health monitoring platforms and research initiative...

Full description

Bibliographic Details
Main Authors: Andrew J McMurry, Amy R Zipursky, Alon Geva, Karen L Olson, James R Jones, Vladimir Ignatov, Timothy A Miller, Kenneth D Mandl
Format: Article
Language:English
Published: JMIR Publications 2024-04-01
Series:Journal of Medical Internet Research
Online Access:https://www.jmir.org/2024/1/e53367

Internet

https://www.jmir.org/2024/1/e53367

Similar Items