Prediction and Diagnosis of Respiratory Disease by Combining Convolutional Neural Network and Bi-directional Long Short-Term Memory Methods.

Abstract

Authors

• Li Li
  Department of Gastric Surgery, Sichuan Clinical Research Center for Cancer, Sichuan Cancer Hospital & Institute, Sichuan Cancer Center, Affiliated Cancer Hospital of University of Electronic Science and Technology of China, Chengdu, China.
• Alimu Ayiguli
  Department of Clinical Research Center of Infectious Diseases (Pulmonary Tuberculosis), First People's Hospital of Kashi, Kashi, China.
• Qiyun Luan
  Department of Clinical Research Center of Infectious Diseases (Pulmonary Tuberculosis), First People's Hospital of Kashi, Kashi, China.
• Boyi Yang
  Department of Preventive Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, China.
• Yilamujiang Subinuer
  Department of Clinical Research Center of Infectious Diseases (Pulmonary Tuberculosis), First People's Hospital of Kashi, Kashi, China.
• Hui Gong
  Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China.
• Abudureherman Zulipikaer
  Department of Clinical Research Center of Infectious Diseases (Pulmonary Tuberculosis), First People's Hospital of Kashi, Kashi, China.
• Jingran Xu
  Department of Clinical Research Center of Infectious Diseases (Pulmonary Tuberculosis), First People's Hospital of Kashi, Kashi, China.
• Xuemei Zhong
  Department of Respiratory and Critical Care Medicine, First People's Hospital of Kashi, Kashi, China.
• Jiangtao Ren
  School of Data and Computer Science, Guangdong Province Key Lab of Computational Science, Sun Yat-Sen University, Guangzhou, Guangdong 510006, PR China. Electronic address: issrjt@mail.sysu.edu.cn.
• Xiaoguang Zou
  The First People's Hospital of Kashi, Xinjiang, China.

Keywords

External Resources