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Prediction of hypertension risk based on multiple feature fusion.

Jingdong YangHan WangPeng LiuYuhang LuMinghui YaoHaixia Yan
Published in: Journal of biomedical informatics (2024)
Compared with the state-of-the-art models, the multi-feature fusion model effectively utilizes the patients' correlated multimodal features, and has higher classification accuracy and generalization performance.
Keyphrases
  • machine learning
  • deep learning
  • end stage renal disease
  • blood pressure
  • chronic kidney disease
  • ejection fraction
  • peritoneal dialysis
  • prognostic factors
  • pain management