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

Natural Language Processing (903) Infodemiology and Infoveillance (1558) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1139) Machine Learning (2053) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1907) Infoveillance and Social Listening (313) Ontologies, Classifications, and Coding (320)

Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/29768, first published .
A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness

A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness

A Pipeline to Understand Emerging Illness Via Social Media Data Analysis: Case Study on Breast Implant Illness

Authors of this article:

Vishal Dey1 Author Orcid Image ;   Peter Krasniak2 Author Orcid Image ;   Minh Nguyen2 Author Orcid Image ;   Clara Lee2 Author Orcid Image ;   Xia Ning1, 2, 3 Author Orcid Image
Article Authors Cited by (8) Tweetations (8) Metrics

Journals

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  8. RODRÍGUEZ DELGADO A, RODRÍGUEZ LIRIANO Á, L. RINCÓN RUBIO L, del Mar VAQUERO PÉREZ M. Actualización de la encuesta sobre tendencia en el uso de implantes mamarios por los cirujanos plásticos iberoamericanos: datos FILACP 2024. Cirugía Plástica Ibero-Latinoamericana 2025;51:113 View