Late Career Tenured Researcher, University of Minnesota
1 active project
Scientific Questions Being Studied
The project is on understanding the different kinds of treatments available to diabetes patients, and whether there are any significant difference between the nature of the treatments and the outcomes. The primary goal is to develop data science (statistics, machine learning) methodology to differentiate treatment outcomes.
- Methods Development
The plan is to consider a cohort of diabetes patents from all over the United states, and understand the nature of their illness and the treatments they have received. Then, controlling for various characteristics like age and sex, we would like to understand if there are multiple treatment trajectories that are currently in usage, and whether there are any substantial variability between these trajectories, or in the outcomes.
To address the data science methodological challenges, a tensor co-clustering algorithm will be developed and used.
The anticipated findings are that there is no substantial or significant difference in the treatment pathways of diabetes. Confirmation of this hypothesis or any departure from it would inform about possible inequities in diabetes treatment, and would have educational value to care givers, since they would know about the best practices.
Demographic Categories of Interest
This study will not center on underrepresented populations.
- Snigdhansu Chatterjee - Late Career Tenured Researcher, University of Minnesota
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