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

Author:

Xu Dechang1,Zeng Jiang2,Xie Fangfang3,Yang Qianting4,Huang Kaisong5,Xiao Wei5,Zou Houwen1,Zhang Huihua6

Affiliation:

1. Internal Medicine Center of Ganzhou Cancer Hospital, Ganzhou, Jiangxi 341000, P.R. China

2. Ganzhou Fifth People's Hospital, The Ninth Affiliated Clinical College, Gannan Medical University, Ganzhou, Jiangxi 341000, P.R. China

3. Department of Endocrinology, Ganzhou People's Hospital, Ganzhou, Jiangxi 341000, P.R. China

4. Shenzhen Institute of Liver Diseases, Third People's Hospital, Shenzhen, Guangdong 518112, P.R. China

5. Guangdong Provincial Key Laboratory of Regional Immunity and Disease, Department of Pathogen Biology, School of Medicine, Shenzhen University, Shenzhen, Guangdong 518052, P.R. China

6. Guangdong Provincial Key Laboratory of Regional Immunity and Disease, Department of Pathogen Biology, School of Medicine, Shenzhen University, Shenzhen, Guangdong 518052, P.R. China

Publisher

Spandidos Publications

Subject

General Pharmacology, Toxicology and Pharmaceutics,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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