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

Development and Evaluation of Research Methods, Instruments and Tools (481) Natural Language Processing (692) Ontologies, Classifications, and Coding (239) Electronic Health Records (1053)

Published on in Vol 7 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/43014, first published .
Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data

Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data

Extracting Medical Information From Free-Text and Unstructured Patient-Generated Health Data Using Natural Language Processing Methods: Feasibility Study With Real-world Data

Authors of this article:

Emre Sezgin1, 2 Author Orcid Image ;   Syed-Amad Hussain1 Author Orcid Image ;   Steve Rust1 Author Orcid Image ;   Yungui Huang1 Author Orcid Image
Article Authors Cited by (17) Tweetations (9) Metrics

Emre Sezgin   1, 2 * , PhD ;   Syed-Amad Hussain   1 * , BSc ;   Steve Rust   1 , PhD ;   Yungui Huang   1 , PhD

1 The Abigail Wexner Research Institute at Nationwide Children's Hospital, Columbus, OH, United States

2 The Ohio State University College of Medicine, Columbus, OH, United States

*these authors contributed equally

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