Predicting Cardiovascular Risk Using Social Media Data: Performance Evaluation of Machine-Learning Models

BACKGROUND: Current atherosclerotic cardiovascular disease (ASCVD) predictive models have limitations; thus, efforts are underway to improve the discriminatory power of ASCVD models. OBJECTIVE: We sought to evaluate the discriminatory power of social media posts to predict the 10-year risk for ASCVD...

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Detalles Bibliográficos
Autores principales: Andy, Anietie U, Guntuku, Sharath C, Adusumalli, Srinath, Asch, David A, Groeneveld, Peter W, Ungar, Lyle H, Merchant, Raina M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411430/
https://www.ncbi.nlm.nih.gov/pubmed/33605888
http://dx.doi.org/10.2196/24473

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411430/
https://www.ncbi.nlm.nih.gov/pubmed/33605888
http://dx.doi.org/10.2196/24473

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