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A deep learning model for early risk prediction of heart failure with preserved ejection fraction by DNA methylation profiles combined with clinical features.

Xuetong ZhaoYang SuiXiuyan RuanXinyue WangKunlun HeWei DongHongzhu QuXiangdong Fang
Published in: Clinical epigenetics (2022)
Our study proposes an early risk assessment framework for HFpEF integrating both clinical and epigenetic features, providing a promising path for clinical decision making.
Keyphrases
  • dna methylation
  • risk assessment
  • deep learning
  • decision making
  • gene expression
  • heavy metals
  • human health
  • convolutional neural network