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

Development and Evaluation of Research Methods, Instruments and Tools (841) Complementary and Alternative Medicine (133) Tools, Programs and Algorithms (417) Natural Language Processing (977) Ontologies, Classifications, and Coding (353) Machine Learning (2277) Artificial Intelligence (2420) Computer-Aided Diagnosis (281)

Published on in Vol 9 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/70602, first published .
Identification of Syndrome Types in Patients With Pancreatic Cancer From Free Text in Electronic Medical Records: Model Development and Validation

Identification of Syndrome Types in Patients With Pancreatic Cancer From Free Text in Electronic Medical Records: Model Development and Validation

Identification of Syndrome Types in Patients With Pancreatic Cancer From Free Text in Electronic Medical Records: Model Development and Validation

Authors of this article:

He Ba1, 2 Author Orcid Image ;   Haojie Du3, 4 Author Orcid Image ;   Chienshan Cheng2, 5 Author Orcid Image ;   Yuan Zhang2, 5 Author Orcid Image ;   Linjie Ruan2, 5 Author Orcid Image ;   Zhen Chen2, 5 Author Orcid Image
Article Authors Cited by (1) Tweetations (3) Metrics

Journals

  1. Li C, Zhou Z, Ji Y, Li F, Huo J. The four traditional Chinese medicine diagnostic techniques in gastrointestinal neoplasms: Application and prospect in the context of artificial intelligence. World Chinese Journal of Digestology 2026;34(3):183 View