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Development and evaluation of machine learning models and nomogram for the prediction of severe acute pancreatitis.

Zhu LuoJialin ShiYangyang FangShunjie PeiYutian LuRuxia ZhangXin YeWenxing WangMengtian LiXiangjun LiMengyue ZhangGuangxin XiangZhifang PanXiao-Qun Zheng
Published in: Journal of gastroenterology and hepatology (2023)
Our findings suggested that the RF model exhibited the best predictive performance, and the nomogram provided a visual scoring model for clinical practice. Our models may serve as practical tools for facilitating personalized treatment options and improving clinical outcomes through pre-treatment stratification of patients with AP.
Keyphrases
  • machine learning
  • clinical practice
  • lymph node metastasis
  • transcription factor
  • artificial intelligence
  • big data