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Preprint (Author's original)Open Access (License Unspecified), Open
Conference poster
Investigating health disparities and AI bias in models to predict development of chronic kidney disease in patients with Type II Diabetes
10 Aug 2023
Abstract
Poster presented at the 2023 NIH AIM-AHEAD annual meeting. Presents preliminary findings on racial disparities in progression to chronic kidney disease in a population of patients with type 2 diabetes. Machine learning models to predict CKD in this population were developed and biases in the performance of these models on different race groups was investigated and quantified. This work was performed while the first author was an AIM-AHEAD research fellow (cohort 1) and was supported by the AIM-AHEAD Consortium with data provided by OCHIN Inc.
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Details
- Title
- Investigating health disparities and AI bias in models to predict development of chronic kidney disease in patients with Type II Diabetes
- Creators
- Mary Lucas - Drexel UniversityChristopher C. Yang - Drexel University, Information ScienceMario Schootman - SSM Health Care
- Conference
- 2023 NIH AIM-AHEAD annual meeting (Washington, District of Columbia, United States, 01 Aug 2023–02 Aug 2023)
- Publisher
- figshare
- Resource Type
- Conference poster
- Language
- English
- Academic Unit
- Information Science
- Other Identifier
- 991021855512204721