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

Clinical Information and Decision Making (1407) Natural Language Processing (692) Pharmacovigilance (134) Ontologies, Classifications, and Coding (239) Machine Learning (1465) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1641) Infodemiology and Infoveillance (1349)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/44870, first published .
Transferability Based on Drug Structure Similarity in the Automatic Classification of Noncompliant Drug Use on Social Media: Natural Language Processing Approach

Transferability Based on Drug Structure Similarity in the Automatic Classification of Noncompliant Drug Use on Social Media: Natural Language Processing Approach

Transferability Based on Drug Structure Similarity in the Automatic Classification of Noncompliant Drug Use on Social Media: Natural Language Processing Approach

Authors of this article:

Tomohiro Nishiyama1 Author Orcid Image ;   Shuntaro Yada1 Author Orcid Image ;   Shoko Wakamiya1 Author Orcid Image ;   Satoko Hori2 Author Orcid Image ;   Eiji Aramaki1 Author Orcid Image
Article Authors Cited by (2) Tweetations (3) Metrics

Tomohiro Nishiyama   1 , MEng ;   Shuntaro Yada   1 , PhD ;   Shoko Wakamiya   1 , PhD ;   Satoko Hori   2 , PhD ;   Eiji Aramaki   1 , PhD

1 Department of Information Science, Nara Institute of Science and Technology, Ikoma, Japan

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

Corresponding Author:

  • Eiji Aramaki, PhD
  • Department of Information Science
  • Nara Institute of Science and Technology
  • 8916-5, Takayama-cho
  • Ikoma, 630-0192
  • Japan
  • Phone: 81 743-72-5250
  • Email: aramaki@is.naist.jp