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

Foundations of AI (52) Artificial Intelligence (1628)

Published on in Vol 3 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/51240, first published .
Identifying Symptoms Prior to Pancreatic Ductal Adenocarcinoma Diagnosis in Real-World Care Settings: Natural Language Processing Approach

Identifying Symptoms Prior to Pancreatic Ductal Adenocarcinoma Diagnosis in Real-World Care Settings: Natural Language Processing Approach

Identifying Symptoms Prior to Pancreatic Ductal Adenocarcinoma Diagnosis in Real-World Care Settings: Natural Language Processing Approach

Authors of this article:

Fagen Xie1 Author Orcid Image ;   Jenny Chang1 Author Orcid Image ;   Tiffany Luong1 Author Orcid Image ;   Bechien Wu1 Author Orcid Image ;   Eva Lustigova1 Author Orcid Image ;   Eva Shrader2 Author Orcid Image ;   Wansu Chen1 Author Orcid Image
Article Authors Cited by (1) Tweetations (12) Metrics

Journals

  1. Xie F, Zeiger R, Saparudin M, Al-Salman S, Puttock E, CRAWFORD W, Schatz M, Xu S, Vollmer W, Chen W. Identifying Asthma-related Symptoms from Electronic Health Records within a Large Integrated Healthcare System: A Hybrid Natural Language Processing Approach (Preprint). JMIR AI 2024 View