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

Natural Language Processing (874) Clinical Information and Decision Making (1825) Clinical Informatics (1268) Tools, Programs and Algorithms (363) Ontologies, Classifications, and Coding (310) Secondary Use of Clinical Data for Research and Surveillance (457) Decision Support for Health Professionals (1483) Electronic Health Records (1279)

Published on in Vol 12 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/57949, first published .
Natural Language Processing Versus Diagnosis Code–Based Methods for Postherpetic Neuralgia Identification: Algorithm Development and Validation

Natural Language Processing Versus Diagnosis Code–Based Methods for Postherpetic Neuralgia Identification: Algorithm Development and Validation

Natural Language Processing Versus Diagnosis Code–Based Methods for Postherpetic Neuralgia Identification: Algorithm Development and Validation

Authors of this article:

Chengyi Zheng1 Author Orcid Image ;   Bradley Ackerson2 Author Orcid Image ;   Sijia Qiu1 Author Orcid Image ;   Lina S Sy1 Author Orcid Image ;   Leticia I Vega Daily1 Author Orcid Image ;   Jeannie Song1 Author Orcid Image ;   Lei Qian1 Author Orcid Image ;   Yi Luo1 Author Orcid Image ;   Jennifer H Ku1 Author Orcid Image ;   Yanjun Cheng1 Author Orcid Image ;   Jun Wu1 Author Orcid Image ;   Hung Fu Tseng1, 3 Author Orcid Image
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Journals

  1. Remaki A, Ung J, Pages P, Wajsburt P, Liu E, Faure G, Petit-Jean T, Tannier X, Gérardin C. Improving Phenotyping of Patients With Immune-Mediated Inflammatory Diseases Through Automated Processing of Discharge Summaries: Multicenter Cohort Study. JMIR Medical Informatics 2025;13:e68704 View