Predictive Modelling Of Mortality Rates for Diabetes: An Analysis Of Risk Factors
Diabetes is a chronic disease affecting millions globally and is a leading cause of death. Understanding mortality trends and predicting future mortality rates is crucial for public health planning and intervention strategies. This project analyzes mortality rates for diabetes in the United States from 2015 to 2020 and employs various predictive methods in Statistics and Machine Learning to forecast future mortality rates. Our objective is to identify critical factors that contribute to mortality from diabetes and develop a suitable model for predicting future mortality rates. The outcomes of this study could inform policies and interventions aimed at reducing the burden of diabetes-related mortality.
Primary Advisor's Department
Stander Symposium, College of Arts and Sciences
Institutional Learning Goals
Community; Practical Wisdom; Diversity
"Predictive Modelling Of Mortality Rates for Diabetes: An Analysis Of Risk Factors" (2023). Stander Symposium Projects. 2959.
Presentation: 11:20-11:40 p.m., Science Center 119