GlyTwin generates patient-centric counterfactual behavioral interventions to reduce hyperglycemia in type 1 diabetes, evaluated on a new dataset from 50 patients showing 85.8% valid explanations and 87.3% effectiveness.
Nurse-in-the- loop artificial intelligence for precision management of type 2 diabetes in a clinical trial utilizing transfer-learned predictive digital twin
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.LG 1years
2025 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
GlyTwin: Digital Twin for Glucose Control in Type 1 Diabetes Through Optimal Behavioral Modifications Using Patient-Centric Counterfactuals
GlyTwin generates patient-centric counterfactual behavioral interventions to reduce hyperglycemia in type 1 diabetes, evaluated on a new dataset from 50 patients showing 85.8% valid explanations and 87.3% effectiveness.