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Prediction of Multiple Organ Failure Complicated by Moderately Severe or Severe Acute Pancreatitis Based on Machine Learning: A Multicenter Cohort Study.

Fumin XuXiao ChenChenwenya LiJing LiuQiu QiuMi HeJingjing XiaoZhihui LiuBingjun JiDong-Feng ChenKai Jun Liu
Published in: Mediators of inflammation (2021)
A predictive model of MOF complicated by MSAP or SAP was successfully developed based on machine learning. The predictive performance was evaluated by a test set, for which AdaBoost showed a satisfactory predictive performance. The study is registered with the China Clinical Trial Registry (Identifier: ChiCTR1800016079).
Keyphrases
  • machine learning
  • clinical trial
  • early onset
  • artificial intelligence
  • big data
  • study protocol
  • open label
  • phase ii
  • metal organic framework
  • phase iii