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Predicting the 5-Year Risk of Nonalcoholic Fatty Liver Disease Using Machine Learning Models: Prospective Cohort Study.

Guoqing HuangQiankai JinYushan Mao
Published in: Journal of medical Internet research (2023)
Developing and validating machine learning models can aid in predicting which populations are at the highest risk of developing NAFLD over a 5-year period, thereby helping delay and reduce the occurrence of adverse liver prognostic events.
Keyphrases
  • machine learning
  • risk assessment
  • artificial intelligence
  • emergency department
  • deep learning
  • liver fibrosis