Prediction of tuberculosis treatment outcomes using biochemical makers with machine learning.

Journal: BMC infectious diseases
PMID:

Abstract

BACKGROUND: Tuberculosis (TB) continues to pose a significant threat to global public health. Enhancing patient prognosis is essential for alleviating the disease burden.

Authors

  • Zheyue Wang
    Department of Epidemiology, Center for Global Health, School of Public Health, National Vaccine Innovation Platform, Nanjing Medical University, Nanjing, 211166, China.
  • Zhenpeng Guo
  • Weijia Wang
    School of Information and Software Engineering, University of Electronic Science and Technology of China, Chengdu, China.
  • Qiang Zhang
    Yunan Provincial Center for Disease Control and Prevention, Kunming 650022, China.
  • Suya Song
    Changzhou Medical Center, Nanjing Medical University, Changzhou, 213004, China.
  • Yuan Xue
    Department of Nutrition and food hygiene, College of Public Health of Zhengzhou University, Zhengzhou, China, 450001. Electronic address: 962634470@qq.com.
  • Zhixin Zhang
    School of Mathematics Sciences, Anhui University, Hefei 230601, China.
  • Jianming Wang
    School of Business Administration, Zhejiang University of Finance & Economics, Hangzhou 310018, China. sjwjm@zufe.edu.cn.