Applying machine learning techniques to predict the risk of distant metastasis from gastric cancer: a real world retrospective study

HIGHLIGHTS

• What: The authors investigated the factors affecting distant metastasis of gastric cancer by utilizing some common clinical indicators and related pathological factors combined with corresponding machine_learning methods and theories. The authors assess the model by Frontiers in Oncology N stage, n (%) P and amp;lt;0.001 Radiation, n (%) P and amp;lt;0.001 Chemotherapy, n (%) P and amp;lt;0.001 (Continued) frontiersin.org 10.3389/fonc.2024.1455914 DM , patients without distant metastasis; DM (+), patients with distant metastasis. Although the model has some advantages, there are still some shortcomings that need to be further . . .
  

   

  

  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.