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

Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1015) Mass Media/Social Media Communication and Campaigns (450) Infodemiology and Infoveillance (1278) Innovative Methods in Public Health and Surveillance (307) Machine Learning (1400) Big Data (220) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1573) Behavioural Surveillance for Public Health (207) Natural Language Processing (650)

Published on in Vol 7, No 6 (2021): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27976, first published .
Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events

Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events

Public Discussion of Anthrax on Twitter: Using Machine Learning to Identify Relevant Topics and Events

Authors of this article:

Michele Miller1 Author Orcid Image ;   William Romine1 Author Orcid Image ;   Terry Oroszi1 Author Orcid Image
Article Authors Cited by (2) Tweetations (13) Metrics

Journals

  1. Rubinic I, Kurtov M, Rubinic I, Likic R, Dargan P, Wood D. Artificial intelligence in clinical pharmacology: A case study and scoping review of large language models and bioweapon potential. British Journal of Clinical Pharmacology 2024;90(3):620 View
  2. Li J, Li Y, Mei Z, Liu Z, Zou G, Cao C. Mathematical models and analysis tools for risk assessment of unnatural epidemics: a scoping review. Frontiers in Public Health 2024;12 View