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Comparison of Synthetic Data Generation Techniques for Control Group Survival Data in Oncology Clinical Trials: Simulation Study.

Ippei AkiyaTakuma IshiharaKeiichi Yamamoto
Published in: JMIR medical informatics (2024)
As a method for generating SPD for survival data from small data sets, such as clinical trial data, CART demonstrated to be the most effective method compared to RF, BN, and CTGAN. Additionally, it is possible to improve CART-based generation methods by incorporating feature engineering and other methods in future work.
Keyphrases
  • clinical trial
  • electronic health record
  • big data
  • machine learning
  • randomized controlled trial
  • open label