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

Adverse Drug Events Detection, Pharmacovigilance and Surveillance (274) Information Retrieval (488) Natural Language Processing (1288) Decision Support for Health Professionals (2244) Ontologies, Classifications, and Coding (445) Machine Learning (3188)

Published on in Vol 10, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31063, first published .
Doctor in white coat with stethoscope writing on chart at desk with laptop

Development of a Pipeline for Adverse Drug Reaction Identification in Clinical Notes: Word Embedding Models and String Matching

Development of a Pipeline for Adverse Drug Reaction Identification in Clinical Notes: Word Embedding Models and String Matching

Authors of this article:

Klaske R Siegersma1, 2 Author Orcid Image ;   Maxime Evers1 Author Orcid Image ;   Sophie H Bots1 Author Orcid Image ;   Floor Groepenhoff1, 3 Author Orcid Image ;   Yolande Appelman2 Author Orcid Image ;   Leonard Hofstra2, 4 Author Orcid Image ;   Igor I Tulevski4 Author Orcid Image ;   G Aernout Somsen4 Author Orcid Image ;   Hester M den Ruijter1 Author Orcid Image ;   Marco Spruit5, 6 Author Orcid Image ;   N Charlotte Onland-Moret7 Author Orcid Image
Article Authors Cited by (5) Tweetations (5) Metrics

Journals

  1. Muzaffar A, Abdul-Massih S, Stevenson J, Alvarez-Arango S. Use of the Electronic Health Record for Monitoring Adverse Drug Reactions. Current Allergy and Asthma Reports 2023;23(7):417 View
  2. Torres-Silva E, Rúa S, Giraldo-Forero A, Durango M, Flórez-Arango J, Orozco-Duque A. Classification of Severe Maternal Morbidity from Electronic Health Records Written in Spanish Using Natural Language Processing. Applied Sciences 2023;13(19):10725 View
  3. Modi S, Kasmiran K, Mohd Sharef N, Sharum M. Extracting adverse drug events from clinical Notes: A systematic review of approaches used. Journal of Biomedical Informatics 2024;151:104603 View
  4. Katz A, Dhankar A, Fransoo G, Gordon Pappas D, Hamad A, Leong C, Singer A. Using Natural Language Processing to Identify Adverse Drug Events Characterized by Medication Replacement in Primary Care Electronic Medical Records: Algorithm and Validation Study. Journal of Medical Internet Research 2026;28:e86467 View

Conference Proceedings

  1. Douha T, Abdellah M, Khalid Z, Sadik O. 2026 International Conference on Circuit, Systems and Communication (ICCSC). AI-Based Detection of Adverse Drug Events: A Scoping Review of NLP and Deep Learning Techniques (2020-2025) View