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

Viewpoints on and Experiences with Digital Technologies in Health (83) Electronic Health Records (1068) Ontologies, Classifications, and Coding (243) Natural Language Processing (706) Big Data (245) Advanced Data Analytics in eHealth (142) Clinical Informatics (1050) Clinical Information and Decision Making (1434)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/53516, first published .
Using a Natural Language Processing Approach to Support Rapid Knowledge Acquisition

Using a Natural Language Processing Approach to Support Rapid Knowledge Acquisition

Using a Natural Language Processing Approach to Support Rapid Knowledge Acquisition

Authors of this article:

Taneya Y Koonce1 Author Orcid Image ;   Dario A Giuse2 Author Orcid Image ;   Annette M Williams1 Author Orcid Image ;   Mallory N Blasingame1 Author Orcid Image ;   Poppy A Krump1 Author Orcid Image ;   Jing Su1 Author Orcid Image ;   Nunzia B Giuse1, 2 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Journals

  1. Guerra R. Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes. Italian Journal of Medicine 2024;18(2) View
  2. Stead W, Lewis A, Giuse N, Williams A, Biaggioni I, Bastarache L. Disentangling the phenotypic patterns of hypertension and chronic hypotension. Journal of Biomedical Informatics 2024;159:104743 View