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

Chemotherapy and Side Effects Management (143) Natural Language Processing (1224) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (259) Electronic Health Records (1655) Prostate Cancer (66) ePrescribing and Innovations in Pharmacies (101) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (149)

Published on in Vol 11 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/69663, first published .
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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 (4) 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
  3. Peng C, Dong X, Lyu M, Paredes D, Zhang Y, Wu Y. A study of large language models for patient information extraction: Model architecture, fine-tuning strategy, and multi-task instruction tuning. Journal of Biomedical Informatics 2026;178:105034 View
  4. Shibutani Y, Ikou K, Suzuki S, Nakajima S, Hashimoto A, Sako A, Kumazawa N, Ryusima Y, Yonemura M, Kondo N. Details of oral anticancer drug prescription audits by community pharmacists: a retrospective analysis of prescription inquiries. Journal of Pharmaceutical Health Care and Sciences 2026;12(1) View