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

Clinical Information and Decision Making (1559) Natural Language Processing (767) Pharmacovigilance (150) Ontologies, Classifications, and Coding (257) Machine Learning (1637) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1744) Infodemiology and Infoveillance (1431)

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 (4) Tweetations (3) Metrics

Journals

  1. Sato R, Tsuchiya M, Ichiyama R, Hisamura S, Watabe S, Yanagisawa Y, Nishiyama T, Yada S, Aramaki E, Kizaki H, Imai S, Hori S. Analysis of Overdose-related Posts on Social Media. YAKUGAKU ZASSHI 2024;144(12):1125 View
  2. Li W, Hua Y, Zhou P, Zhou L, Xu X, Yang J. Characterizing Public Sentiments and Drug Interactions in the COVID-19 Pandemic Using Social Media: Natural Language Processing and Network Analysis. Journal of Medical Internet Research 2025;27:e63755 View