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

Machine Learning (1952) JMIR Theme Issue: COVID-19 Special Issue (2530) Theme Issue: Medical Informatics and COVID-19 (122) Electronic Health Records (1267) Natural Language Processing (866)

Published on in Vol 10, No 4 (2022): April

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/37771, first published .
Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility Study

Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility Study

Predicting COVID-19 Symptoms From Free Text in Medical Records Using Artificial Intelligence: Feasibility Study

Authors of this article:

Josefien Van Olmen1 Author Orcid Image ;   Jens Van Nooten2 Author Orcid Image ;   Hilde Philips1 Author Orcid Image ;   Annet Sollie1 Author Orcid Image ;   Walter Daelemans2 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Manolchev C, Campenni M, Mustafee N. From structures to systems: towards a model of ethical healthcare. Health Systems 2025;14(3):243 View
  2. Bizel-Bizellot G, Galmiche S, Lelandais B, Charmet T, Coudeville L, Fontanet A, Zimmer C. Extracting circumstances of Covid-19 transmission from free text with large language models. Nature Communications 2025;16(1) View

Conference Proceedings

  1. Zhu F, Zhang F, Liu Y. 2022 14th International Conference on Computational Intelligence and Communication Networks (CICN). Intelligent Archive Construction Driven by Artificial Intelligence View