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25–27 October 2027 · Orlando

Talk Details · Diabetes 2023

A data-driven modeling approach to predicting the risks of T2DM complications

Oral · In-Person · Day 2

Abstract

About this talk

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.

Audience Takeaway:

  • Explain how the audience will be able to use what they learn?
  • How will this help the audience in their job? 
  • Is this research that other faculty could use to expand their research or teaching?
  • Does this provide a practical solution to a problem that could simplify or make a designer’s job more efficient?

Speaker

About the speaker

Hsing Luh

Hsing Luh

National Chengchi University, Taiwan

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Orlando · October 25–27, 2027· Hybrid · in-person & virtual

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