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

Chemotherapy and Side Effects Management (114) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (216) Prostate Cancer (48) ePrescribing and Innovations in Pharmacies (84) Natural Language Processing (923) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (89) Electronic Health Records (1331)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69663, first published .
Identifying Adverse Events in Outpatients With Prostate Cancer Using Pharmaceutical Care Records in Community Pharmacies: Application of Named Entity Recognition

Identifying Adverse Events in Outpatients With Prostate Cancer Using Pharmaceutical Care Records in Community Pharmacies: Application of Named Entity Recognition

Identifying Adverse Events in Outpatients With Prostate Cancer Using Pharmaceutical Care Records in Community Pharmacies: Application of Named Entity Recognition

Authors of this article:

Yuki Yanagisawa1 Author Orcid Image ;   Satoshi Watabe1 Author Orcid Image ;   Sakura Yokoyama1 Author Orcid Image ;   Kyoko Sayama1 Author Orcid Image ;   Hayato Kizaki1 Author Orcid Image ;   Masami Tsuchiya1 Author Orcid Image ;   Shungo Imai1 Author Orcid Image ;   Mitsuhiro Someya2 Author Orcid Image ;   Ryoo Taniguchi2 Author Orcid Image ;   Shuntaro Yada3, 4 Author Orcid Image ;   Eiji Aramaki3 Author Orcid Image ;   Satoko Hori1 Author Orcid Image
Article Authors Cited by (2) Tweetations (5) Metrics

Journals

  1. Zitu M, Owen D, Manne A, Wei P, Li L. Large Language Models for Adverse Drug Events: A Clinical Perspective. Journal of Clinical Medicine 2025;14(15):5490 View
  2. Zitu M, Manne A, Zhu Y, Rahat W, Binkheder S. Large Language Models for Drug-Related Adverse Events in Oncology Pharmacy: Detection, Grading, and Actioning. Pharmacy 2025;13(6):176 View