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Risk Prediction Using Bayesian Networks: An Immunotherapy Case Study in Patients With Metastatic Renal Cell Carcinoma.

Alind GuptaPaul AroraDarren R BrennerJacqueline Vanderpuye-OrgleDevon J BoyneMark Edmondson-JonesElena ParkhomenkoWarren StevensShaan DudaniDaniel Y C HengSamuel WagnerJohn BorrillElise Wu
Published in: JCO clinical cancer informatics (2021)
The validated BNM performed well at prediction using baseline data, particularly with the inclusion of response and progression at 12 months. Additionally, the results suggest that 12 months of follow-up data alone may be sufficient to inform long-term survival projections in patients with mRCC.
Keyphrases
  • metastatic renal cell carcinoma
  • electronic health record
  • big data
  • machine learning