Development of diagnostic algorithm using machine learning for distinguishing between active tuberculosis and latent tuberculosis infection

HIGHLIGHTS

• who: Ying Luo from the Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Jiefang Road, Wuhan, China have published the Article: Development of diagnostic algorithm using machine learning for distinguishing between active tuberculosis and latent tuberculosis infection, in the Journal: (JOURNAL)
• what: This study aims to investigate the value of diagnostic models established by machine learning based on multiple laboratory data for distinguishing Mycobacterium tuberculosis (Mtb) infection status. This study was carried out from January 2018 to January 2022. The importance of indicators in the contribution to the . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.