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

Machine Learning (1465) Artificial Intelligence (1371) Adverse Drug Events Detection, Pharmacovigilance and Surveillance (156) Big Data (240) Natural Language Processing (692) New Technologies (77)

Published on in Vol 10, No 6 (2022): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34305, first published .
Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study

Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study

Vaccine Adverse Event Mining of Twitter Conversations: 2-Phase Classification Study

Authors of this article:

Sedigheh Khademi Habibabadi1, 2 Author Orcid Image ;   Pari Delir Haghighi3 Author Orcid Image ;   Frada Burstein3 Author Orcid Image ;   Jim Buttery1, 4 Author Orcid Image
Article Authors Cited by (8) Tweetations (4) Metrics

Journals

  1. Buttery J, Clothier H. Information systems for vaccine safety surveillance. Human Vaccines & Immunotherapeutics 2022;18(6) View
  2. Khademi Habibabadi S, Palmer C, Dimaguila G, Javed M, Clothier H, Buttery J. Australasian Institute of Digital Health Summit 2022–Automated Social Media Surveillance for Detection of Vaccine Safety Signals: A Validation Study. Applied Clinical Informatics 2023;14(01):01 View
  3. Gabashvili I. The Incidence and Effect of Adverse Events Due to COVID-19 Vaccines on Breakthrough Infections: Decentralized Observational Study With Underrepresented Groups. JMIR Formative Research 2022;6(11):e41914 View
  4. Poland G, Black S. Cryptic vaccine-associated adverse events: The critical need for a new vaccine safety surveillance paradigm to improve public trust in vaccines. Vaccine 2024;42(8):1860 View
  5. Ngamwal S, Yogita , Pal V. Sequence Labelling with 2 Level Segregation (SL2LS): A framework to extract COVID-19 vaccine adverse drug reactions from Twitter data. Expert Systems with Applications 2024;249:123572 View
  6. Khademi S, Palmer C, Javed M, Dimaguila G, Clothier H, Buttery J, Black J. Near Real-Time Syndromic Surveillance of Emergency Department Triage Texts Using Natural Language Processing: Case Study in Febrile Convulsion Detection. JMIR AI 2024;3:e54449 View
  7. Sinruwng N, Yogita , Pal V, Verma A. DARCVAA: A Deep Neural Networks Based Framework for Detecting Adverse Reactions of COVID-19 Vaccines and Association Analysis. SN Computer Science 2024;5(5) View
  8. Zou Z, Ji X, Li Y. A Framework Model of Mining Potential Public Opinion Events Pertaining to Suspected Research Integrity Issues with the Text Convolutional Neural Network model and a Mixed Event Extractor. Information 2024;15(6):303 View