Prediction of Multidrug-Resistant Tuberculosis Using Machine Learning Algorithms in SWAT, Pakistan

In this paper, we have focused on machine learning (ML) feature selection (FS) algorithms for identifying and diagnosing multidrug-resistant (MDR) tuberculosis (TB). MDR-TB is a universal public health problem, and its early detection has been one of the burning issues. The present study has been co...

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Detalles Bibliográficos
Autores principales: Ali, Mian Haider, Khan, Dost Muhammad, Jamal, Khalid, Ahmad, Zubair, Manzoor, Sadaf, Khan, Zardad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426057/
https://www.ncbi.nlm.nih.gov/pubmed/34512933
http://dx.doi.org/10.1155/2021/2567080

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426057/
https://www.ncbi.nlm.nih.gov/pubmed/34512933
http://dx.doi.org/10.1155/2021/2567080

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