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Development of a simple dynamic algorithm for individualized hepatocellular carcinoma risk-based surveillance using pre- and post-treatment general evaluation score.

Gamal ShihaReham SolimanNabiel MikhailAyman HassanMohammed Eslam
Published in: Liver international : official journal of the International Association for the Study of the Liver (2021)
A dynamic algorithm incorporating both pre- and post-GES scores have better performance and predictive value compared with only pre-treatment assessments. The proposed algorithm would help to stratify those who need intensive or being excluded from screening.
Keyphrases
  • machine learning
  • deep learning
  • public health
  • neural network
  • replacement therapy