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

BACKGROUND: Heart disease continues to be the leading cause of death in men and women in the United States. The COVID-19 pandemic has further led to increases in various long-term cardiovascular complications. OBJECTIVE: This study analyzed public conversations related to heart disease and heart hea...

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Detalles Bibliográficos
Autores principales: Xue, Haoning, Zhang, Jingwen, Sagae, Kenji, Nishimine, Brian, Fukuoka, Yoshimi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683528/
https://www.ncbi.nlm.nih.gov/pubmed/36318640
http://dx.doi.org/10.2196/40764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9683528/
https://www.ncbi.nlm.nih.gov/pubmed/36318640
http://dx.doi.org/10.2196/40764

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