A prediction model for tacrolimus daily dose in kidney transplant recipients with machine learning and deep learning techniques

HIGHLIGHTS

  • who: Fei Gao and Jing Yang from the Department of Pharmacy, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China, Henan Key Laboratory have published the Article: A Prediction Model for Tacrolimus Daily Dose in Kidney Transplant Recipients With Machine Learning and Deep Learning Techniques, in the Journal: (JOURNAL)
  • what: Third, according to the second consensus report about TDM of tacrolimus-personalized therapy issued by the Immunosuppressive Drugs Scientific Committee of the International Association of Therapeutic Drug Monitoring and Clinical Toxicity in 2019, the range of R2 was unstable varying from 0.27 to 0 . . .

     

    Logo ScioWire Beta black

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

    Thanks :)

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

     

Scroll to Top

Add A Knowledge Base Question !

+ = Verify Human or Spambot ?