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

Artificial Intelligence (1421) Machine Learning (1501) Decision Support for Health Professionals (1210) Big Data (245) Safety and Error Prevention in Health (206) Clinical Information and Decision Making (34) Natural Language Processing (24) Machine Learning (55) Natural Language Processing (706) Artificial Intelligence (96) Innovations and Technology in Cancer Care (431) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (159) Pharmacovigilance (138)

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

Authors of this article:

Satoshi Nishioka1 Author Orcid Image ;   Satoshi Watabe1 Author Orcid Image ;   Yuki Yanagisawa1 Author Orcid Image ;   Kyoko Sayama1 Author Orcid Image ;   Hayato Kizaki1 Author Orcid Image ;   Shungo Imai1 Author Orcid Image ;   Mitsuhiro Someya2 Author Orcid Image ;   Ryoo Taniguchi2 Author Orcid Image ;   Shuntaro Yada3 Author Orcid Image ;   Eiji Aramaki3 Author Orcid Image ;   Satoko Hori1 Author Orcid Image
Article Authors Cited by (1) Tweetations (4) Metrics

Satoshi Nishioka   1 , PhD ;   Satoshi Watabe   1 , BSc ;   Yuki Yanagisawa   1 , PhD ;   Kyoko Sayama   1 , MSc ;   Hayato Kizaki   1 , MSc ;   Shungo Imai   1 , PhD ;   Mitsuhiro Someya   2 , BSc ;   Ryoo Taniguchi   2 , PhD ;   Shuntaro Yada   3 , PhD ;   Eiji Aramaki   3 , PhD ;   Satoko Hori   1 , PhD

1 Division of Drug Informatics, Keio University Faculty of Pharmacy, Tokyo, Japan

2 Nakajima Pharmacy, Hokkaido, Japan

3 Nara Institute of Science and Technology, Nara, Japan

Corresponding Author:

  • Satoko Hori, PhD
  • Division of Drug Informatics
  • Keio University Faculty of Pharmacy
  • 1-5-30 Shibakoen
  • Minato-ku
  • Tokyo, 105-8512
  • Japan
  • Phone: 81 3 5400 2650
  • Email: satokoh@keio.jp