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Electronic Medical Record Risk Modeling of Cardiovascular Outcomes Among Patients with Type 2 Diabetes.

Dongzhe HongDaniel FortLizheng ShiEboni G Price-Haywood
Published in: Diabetes therapy : research, treatment and education of diabetes and related disorders (2021)
The Ochsner model overestimated 5-year CHD risk, but had relatively higher calibration than the other models in CHD. Risk equations fitted for local populations improved cardiovascular risk stratification for patients with T2DM. Application of machine learning simplified the models compared to "generalized" risk equations.
Keyphrases
  • machine learning
  • metabolic syndrome
  • weight loss
  • genetic diversity