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Identifying metabolic dysfunction-associated steatotic liver disease in patients with hypertension and pre-hypertension: An interpretable machine learning approach.

Chen ChenWenkang ZhangGaoliang YanChengchun Tang
Published in: Digital health (2024)
ML algorithms, especially RF algorithm, improve the accuracy of MASLD identification, and the global and local interpretation of the RF model results enables us to intuitively understand how various features affect the chances of MASLD in patients with hypertension and pre-hypertension.
Keyphrases
  • blood pressure
  • machine learning
  • deep learning
  • artificial intelligence
  • oxidative stress
  • big data
  • arterial hypertension
  • bioinformatics analysis