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Establishing Machine Learning Models to Predict Curative Resection in Early Gastric Cancer with Undifferentiated Histology: Development and Usability Study.

Chang-Seok BangJi Yong AhnJie-Hyun KimYoung-Il KimIl Ju ChoiWoon Geon Shin
Published in: Journal of medical Internet research (2021)
We established an ML model capable of accurately predicting the curative resection of U-EGC before ESD by considering the morphological and ecological characteristics of the lesions.
Keyphrases
  • machine learning
  • rectal cancer
  • prognostic factors
  • climate change
  • artificial intelligence
  • health information
  • big data
  • human health