Machine learning and radiomics for the prediction of multidrug resistance in cavitary pulmonary tuberculosis: a multicentre study

OBJECTIVES: Multidrug-resistant tuberculosis (MDR-TB) is a major challenge to global health security. Early identification of MDR-TB patients increases the likelihood of treatment success and interrupts transmission. We aimed to develop a predictive model for MDR to cavitary pulmonary TB using CT ra...

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Detalles Bibliográficos
Autores principales: Li, Ye, Wang, Bing, Wen, Limin, Li, Hengxing, He, Fang, Wu, Jian, Gao, Shan, Hou, Dailun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2022
Materias:
Chest
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294743/
https://www.ncbi.nlm.nih.gov/pubmed/35852573
http://dx.doi.org/10.1007/s00330-022-08997-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9294743/
https://www.ncbi.nlm.nih.gov/pubmed/35852573
http://dx.doi.org/10.1007/s00330-022-08997-9

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