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Machine Learning Approach to Predict the Probability of Recurrence of Renal Cell Carcinoma After Surgery: Prediction Model Development Study.

Hyung Min KimSun Jung LeeSo-Jin ParkIn-Young ChoiSung-Hoo Hong
Published in: JMIR medical informatics (2021)
An algorithm was developed that predicts the probability of RCC recurrence within 5 and 10 years using the KORCC database, a large-scale RCC cohort in Korea. It is expected that the developed algorithm will help clinicians manage prognosis and establish customized treatment strategies for patients with RCC after surgery.
Keyphrases
  • renal cell carcinoma
  • machine learning
  • deep learning
  • free survival
  • artificial intelligence
  • big data
  • emergency department