Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55794, first published .
Adverse Event Signal Detection Using Patients’ Concerns in Pharmaceutical Care Records: Evaluation of Deep Learning Models

Adverse Event Signal Detection Using Patients’ Concerns in Pharmaceutical Care Records: Evaluation of Deep Learning Models

Adverse Event Signal Detection Using Patients’ Concerns in Pharmaceutical Care Records: Evaluation of Deep Learning Models

Journals

  1. Hatem N. Advancing Pharmacy Practice: The Role of Intelligence-Driven Pharmacy Practice and the Emergence of Pharmacointelligence. Integrated Pharmacy Research and Practice 2024;Volume 13:139 View
  2. Yanagisawa Y, Watabe S, Yokoyama S, Sayama K, Kizaki H, Tsuchiya M, Imai S, Someya M, Taniguchi R, Yada S, Aramaki E, Hori S. Identifying Adverse Events in Outpatients With Prostate Cancer Using Pharmaceutical Care Records in Community Pharmacies: Application of Named Entity Recognition. JMIR Cancer 2025;11:e69663 View
  3. Lamberti M, Florez M, Do H, Rosner S, Menard T, Nielson C, Donovan A, Ye J, Kaveripakam S, Schoeberl B, Hunt A, Yeardley H. The Adoption and Use of Artificial Intelligence and Machine Learning in Clinical Development. Therapeutic Innovation & Regulatory Science 2025 View