Title : A data-driven modeling approach to predicting the risks of T2DM complications
Abstract:
The objectives of this research are to utilise competing risk methods in T2DM modeling by using patient data to subsequently evaluate which diabetic complication comes first. The analysis was performed using a simulation model of people with T2DM. The model simulated a cohort of 10000 patients over a 30 year time horizon. This study has demonstrated that competing risk based modeling is suitable for T2DM modeling and further research should be continued to establish along this direction.
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