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Machine Learning Predict Survivals of Spinal and Pelvic Ewing's Sarcoma with the SEER Database.

Guoxin FanSheng YangJiaqi QinLongfei HuangYufeng LiHuaqing LiuXiang Liao
Published in: Global spine journal (2022)
ML was an effective and promising technique in predicting survival of spinal EWS, and the ensemble models were superior to the traditional TNM stage model.
Keyphrases
  • machine learning
  • spinal cord
  • rectal cancer
  • artificial intelligence
  • free survival
  • convolutional neural network
  • emergency department
  • deep learning
  • electronic health record