Using machine learning approaches to predict timely clinic attendance and the uptake of HIV/STI testing post clinic reminder messages

Timely and regular testing for HIV and sexually transmitted infections (STI) is important for controlling HIV and STI (HIV/STI) among men who have sex with men (MSM). We established multiple machine learning models (e.g., logistic regression, lasso regression, ridge regression, elastic net regressio...

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Detalles Bibliográficos
Autores principales: Xu, Xianglong, Fairley, Christopher K., Chow, Eric P. F., Lee, David, Aung, Ei T., Zhang, Lei, Ong, Jason J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128330/
https://www.ncbi.nlm.nih.gov/pubmed/35610227
http://dx.doi.org/10.1038/s41598-022-12033-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9128330/
https://www.ncbi.nlm.nih.gov/pubmed/35610227
http://dx.doi.org/10.1038/s41598-022-12033-7

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