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

Development and Evaluation of Research Methods, Instruments and Tools (264) Natural Language Processing (535) Ontologies, Classifications, and Coding (172) Electronic Health Records (840)

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 Sezgin 1, 2 Author Orcid Image ;   Syed-Amad Hussain 1 Author Orcid Image ;   Steve Rust 1 Author Orcid Image ;   Yungui Huang 1 Author Orcid Image
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