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

Natural Language Processing (692) Machine Learning (1465) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (156) Big Data (240) Clinical Informatics (1022) Pharmacovigilance (134) Secondary Use of Clinical Data for Research and Surveillance (366) Ontologies, Classifications, and Coding (239)

Published on in Vol 9, No 12 (2021): December

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28632, first published .
Text Mining of Adverse Events in Clinical Trials: Deep Learning Approach

Text Mining of Adverse Events in Clinical Trials: Deep Learning Approach

Text Mining of Adverse Events in Clinical Trials: Deep Learning Approach

Authors of this article:

Daphne Chopard1 Author Orcid Image ;   Matthias S Treder1 Author Orcid Image ;   Padraig Corcoran1 Author Orcid Image ;   Nagheen Ahmed2 Author Orcid Image ;   Claire Johnson2 Author Orcid Image ;   Monica Busse2 Author Orcid Image ;   Irena Spasic1 Author Orcid Image
Article Authors Cited by (5) Tweetations (4) Metrics

Journals

  1. Prakash N, Chandran L, Sivakumar M, Pratap Singh A. Perspectives of Artificial Intelligence (AI) in Health Care Management: Prospect and Protest. The Chinese Journal of Artificial Intelligence 2022;1(2) View
  2. Kim S, Kang T, Chung T, Choi Y, Hong Y, Jung K, Lee H. Automatic Extraction of Comprehensive Drug Safety Information from Adverse Drug Event Narratives in the Korea Adverse Event Reporting System Using Natural Language Processing Techniques. Drug Safety 2023;46(8):781 View
  3. Chen H, Cohen E, Wilson D, Alfred M. A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study. JMIR Human Factors 2024;11:e53378 View
  4. Chopard D, Corcoran P, Spasić I. Word sense disambiguation of acronyms in clinical narratives. Frontiers in Digital Health 2024;6 View
  5. Treder M, Lee S, Tsvetanov K. Introduction to Large Language Models (LLMs) for dementia care and research. Frontiers in Dementia 2024;3 View