Unsupervised machine learning predicts future sexual behaviour and sexually transmitted infections among HIV-positive men who have sex with men

Machine learning is increasingly introduced into medical fields, yet there is limited evidence for its benefit over more commonly used statistical methods in epidemiological studies. We introduce an unsupervised machine learning framework for longitudinal features and evaluate it using sexual behavi...

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Detalles Bibliográficos
Autores principales: Andresen, Sara, Balakrishna, Suraj, Mugglin, Catrina, Schmidt, Axel J., Braun, Dominique L., Marzel, Alex, Doco Lecompte, Thanh, Darling, Katharine EA, Roth, Jan A., Schmid, Patrick, Bernasconi, Enos, Günthard, Huldrych F., Rauch, Andri, Kouyos, Roger D., Salazar-Vizcaya, Luisa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9642906/
https://www.ncbi.nlm.nih.gov/pubmed/36302041
http://dx.doi.org/10.1371/journal.pcbi.1010559

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9642906/
https://www.ncbi.nlm.nih.gov/pubmed/36302041
http://dx.doi.org/10.1371/journal.pcbi.1010559

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