Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System - Concepedia

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Publication | Open Access

Natural Language Processing for Improved Characterization of COVID-19 Symptoms: Observational Study of 350,000 Patients in a Large Integrated Health Care System

DOI Full Paper Access

31

Citations

24

References

2022

Year

Deborah E. Malden, Sara Y. Tartof, Bradley K. Ackerson, Vennis Hong, Jacek Skarbinski, Vincent Yau, Lei Qian, Heidi Fischer, Sally F. Shaw, Susan Caparosa,

JMIR Public Health and Surveillance

Abstract

These findings demonstrate that NLP can identify and characterize a broad set of COVID-19 signs and symptoms from unstructured EMR data with enhanced detail and timeliness compared with structured data alone.

References

	Year	Citations

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