A digital twin framework for Type 2 Diabetes uses retrospective EHR data to predict ED visits and support personalized care recommendations, with a reported AUC of 0.82.
Geographically weighted machine learning model for untangling spatial heterogeneity of type 2 diabetes mellitus (t2d) prevalence in the usa,
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DT4PCP: A Digital Twin Framework for Personalized Care Planning Applied to Type 2 Diabetes Management
A digital twin framework for Type 2 Diabetes uses retrospective EHR data to predict ED visits and support personalized care recommendations, with a reported AUC of 0.82.