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Predicting acupuncture efficacy for functional dyspepsia based on routine clinical features: a machine learning study in the framework of predictive, preventive, and personalized medicine.

Tao YinHui ZhengTingting MaXiaoping TianJing XuYing LiLei LanMailan LiuRuirui SunYong TangFanrong LiangFang Zeng
Published in: The EPMA journal (2022)
The online version contains supplementary material available at 10.1007/s13167-022-00271-8.
Keyphrases
  • machine learning
  • social media
  • clinical practice
  • artificial intelligence
  • health information
  • helicobacter pylori infection
  • healthcare
  • irritable bowel syndrome