Construction of a risk model and deep learning network based on patients with active pulmonary tuberculosis and pulmonary inflammation

Most patients with active pulmonary tuberculosis (TB) are difficult to be differentiated from pneumonia (PN), especially those with acid-fast bacillus smear-negative (AFB(-)) and interferon-γ release assay-positive (IGRA(+)) results. Thus, the aim of the present study was to develop a risk model of...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Dechang, Zeng, Jiang, Xie, Fangfang, Yang, Qianting, Huang, Kaisong, Xiao, Wei, Zou, Houwen, Zhang, Huihua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079808/
https://www.ncbi.nlm.nih.gov/pubmed/37034573
http://dx.doi.org/10.3892/br.2023.1616

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10079808/
https://www.ncbi.nlm.nih.gov/pubmed/37034573
http://dx.doi.org/10.3892/br.2023.1616

Ejemplares similares