A machine-learning based model for automated recommendation of individualized treatment of rifampicin-resistant tuberculosis

BACKGROUND: Rifampicin resistant tuberculosis remains a global health problem with almost half a million new cases annually. In high-income countries patients empirically start a standardized treatment regimen, followed by an individualized regimen guided by drug susceptibility test (DST) results. I...

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Detalles Bibliográficos
Autores principales: Verboven, Lennert, Callens, Steven, Black, John, Maartens, Gary, Dooley, Kelly E., Potgieter, Samantha, Cartuyvels, Ruben, Laukens, Kris, Warren, Robin M., Van Rie, Annelies
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949242/
https://www.ncbi.nlm.nih.gov/pubmed/36824956
http://dx.doi.org/10.21203/rs.3.rs-2525765/v1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949242/
https://www.ncbi.nlm.nih.gov/pubmed/36824956
http://dx.doi.org/10.21203/rs.3.rs-2525765/v1

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