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

Cardiac Disease Management (114) JMIR Theme Issue: COVID-19 Special Issue (2477) Public (e)Health, Digital Epidemiology and Public Health Informatics (822) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1739) Infodemiology and Infoveillance (1422) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1074)

Published on in Vol 6, No 2 (2022): Jul-Dec

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40764, first published .
Analyzing Public Conversations About Heart Disease and Heart Health on Facebook From 2016 to 2021: Retrospective Observational Study Applying Latent Dirichlet Allocation Topic Modeling

Analyzing Public Conversations About Heart Disease and Heart Health on Facebook From 2016 to 2021: Retrospective Observational Study Applying Latent Dirichlet Allocation Topic Modeling

Analyzing Public Conversations About Heart Disease and Heart Health on Facebook From 2016 to 2021: Retrospective Observational Study Applying Latent Dirichlet Allocation Topic Modeling

Authors of this article:

Haoning Xue1 Author Orcid Image ;   Jingwen Zhang1, 2 Author Orcid Image ;   Kenji Sagae3 Author Orcid Image ;   Brian Nishimine1 Author Orcid Image ;   Yoshimi Fukuoka4 Author Orcid Image
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RT @jmirpub: New in JMIR Cardio: Analyzing Public Conversations About #heart Disease and #heart Health on Facebook From 2016 to 2021: Retro…

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