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Serum Uric Acid Significantly Improves the Accuracy of Cardiovascular Risk Score Models.

Yonatan MoshkovitsShmuel TiosanoAlon KaplanMaia KalsteinGabriella BayshtokShaye KivityShlomo SegevEhud GrossmanAmit SegevElad MaorAlexander Fardman
Published in: European journal of preventive cardiology (2022)
sUA significantly improves the classification accuracy of PCE and SCORE2 models. This effect is especially pronounced among normal-weight and low-risk subjects.
Keyphrases
  • uric acid
  • metabolic syndrome
  • machine learning
  • body mass index
  • deep learning
  • physical activity
  • weight gain
  • body weight