Extracting symptoms from free-text responses using ChatGPT among COVID-19 cases in Hong Kong-Reference-Cited by-同舟云学术

Extracting symptoms from free-text responses using ChatGPT among COVID-19 cases in Hong Kong

Published:2024-01 Issue:1 Volume:30 Page:142.e1-142.e3
ISSN:1198-743X
Container-title:Clinical Microbiology and Infection
language:en
Short-container-title:Clinical Microbiology and Infection

Author:

Wei Wan In,Leung Cyrus Lap Kwan,Tang Arthur,McNeil Edward Braddon,Wong Samuel Yeung Shan,Kwok Kin On

Publisher

Elsevier BV

Subject

Infectious Diseases,Microbiology (medical),General Medicine

Reference19 articles.

1. Natural language processing of symptoms documented in free-text narratives of electronic health records: a systematic review;Koleck;J Am Med Inform Assoc,2019

2. Working together to advance symptom science in the precision era;Dorsey;Nurs Res,2019

3. Advances and challenges in symptom science;Pickler;Nurs Res,2020

4. Natural language processing for improved characterization of COVID-19 symptoms: observational study of 350,000 patients in a large integrated health care system;Malden;JMIR Public Health Surveill,2022

5. Comparative analysis of symptom profile and risk of death associated with infection by SARS-CoV-2 and its variants in Hong Kong;Kwok;Preprint BioRxiv,2023

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