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

Development and Evaluation of Research Methods, Instruments and Tools (744) Natural Language Processing (917) Artificial Intelligence (2129) Machine Learning (2076) Computer-Aided Diagnosis (251) Tools, Programs and Algorithms (376) Complementary and Alternative Medicine (94) Ontologies, Classifications, and Coding (324)

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
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