Artificial Neural Networks for Prediction of Tuberculosis Disease

Background: The global burden of tuberculosis (TB) and antibiotic resistance is attracting the attention of researchers to develop some novel and rapid diagnostic tools. Although, the conventional methods like culture are considered as the gold standard, they are time consuming in diagnostic procedu...

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Detalles Bibliográficos
Autores principales: Khan, Muhammad Tahir, Kaushik, Aman Chandra, Ji, Linxiang, Malik, Shaukat Iqbal, Ali, Sajid, Wei, Dong-Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409348/
https://www.ncbi.nlm.nih.gov/pubmed/30886608
http://dx.doi.org/10.3389/fmicb.2019.00395

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6409348/
https://www.ncbi.nlm.nih.gov/pubmed/30886608
http://dx.doi.org/10.3389/fmicb.2019.00395

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