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

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 Using a Hybrid Natural Language Processing Approach Within a Large Integrated Health Care System: Retrospective Study. JMIR AI 2025;4:e69132 View
  2. Chen W, Xie F, Luong T, Chang J, Lustigova E, Matrisian L, Shrader E, Wu B. Identifying signs and symptoms of pancreatic cancer: a population-based study using electronic health records and natural language processing. Pancreatology 2025 View
  3. Chen W, Puttock E, Xie F, Crawford W, Schatz M, Vollmer W, Xu S, Zeiger R. Symptoms of Asthma Extracted Through Natural Language Processing and Their Associations With Acute Asthma Exacerbation in Adults With Mild Asthma. The Journal of Allergy and Clinical Immunology: In Practice 2025;13(7):1719 View
  4. Konikoff T, Majumder S. Early Detection of Pancreatic Cancer: Recent Advancements. Current Treatment Options in Gastroenterology 2025;23(1) View