Identifying tuberculous pleural effusion using artificial intelligence machine learning algorithms

BACKGROUND: The differential diagnosis of tuberculous pleural effusion (TPE) is challenging. In recent years, artificial intelligence (AI) machine learning algorithms have started being used to an increasing extent in disease diagnosis due to the high level of efficiency, objectivity, and accuracy t...

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Detalles Bibliográficos
Autores principales: Ren, Zenghua, Hu, Yudan, Xu, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796452/
https://www.ncbi.nlm.nih.gov/pubmed/31619240
http://dx.doi.org/10.1186/s12931-019-1197-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796452/
https://www.ncbi.nlm.nih.gov/pubmed/31619240
http://dx.doi.org/10.1186/s12931-019-1197-5

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