Automated machine learning for endemic active tuberculosis prediction from multiplex serological data

Serological diagnosis of active tuberculosis (TB) is enhanced by detection of multiple antibodies due to variable immune responses among patients. Clinical interpretation of these complex datasets requires development of suitable algorithms, a time consuming and tedious undertaking addressed by the...

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Detalles Bibliográficos
Autores principales: Rashidi, Hooman H., Dang, Luke T., Albahra, Samer, Ravindran, Resmi, Khan, Imran H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429671/
https://www.ncbi.nlm.nih.gov/pubmed/34504228
http://dx.doi.org/10.1038/s41598-021-97453-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429671/
https://www.ncbi.nlm.nih.gov/pubmed/34504228
http://dx.doi.org/10.1038/s41598-021-97453-7

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