Harnessing Big Data to Optimize an Algorithm for Rapid Diagnosis of Pulmonary Tuberculosis in a Real-World Setting

BACKGROUND: The prompt diagnosis of pulmonary tuberculosis (PTB) remains a challenge in clinical practice. The present study aimed to optimize an algorithm for rapid diagnosis of PTB in a real-world setting. METHODS: 28,171 adult inpatients suspected of having PTB in China were retrospectively analy...

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Detalles Bibliográficos
Autores principales: Peng, Jing, Song, Juan, Wang, Feng, Zuo, Peng, Lu, Yanjun, Liu, Weiyong, Tian, Lei, Chen, Zhongju, Zhu, Yaowu, Wang, Xiong, Shen, Na, Wang, Xu, Wu, Shiji, Yu, Qin, Vallance, Bruce A., Jacobson, Kevan, Sun, Ziyong, Yu, Hong Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Cellular and Infection Microbiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012509/
https://www.ncbi.nlm.nih.gov/pubmed/33816355
http://dx.doi.org/10.3389/fcimb.2021.650163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8012509/
https://www.ncbi.nlm.nih.gov/pubmed/33816355
http://dx.doi.org/10.3389/fcimb.2021.650163

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