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Cluster Analysis reveals Socioeconomic Disparities among Elective Spine Surgery Patients.
- Source :
-
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing [Pac Symp Biocomput] 2024; Vol. 29, pp. 359-373. - Publication Year :
- 2024
-
Abstract
- This work demonstrates the use of cluster analysis in detecting fair and unbiased novel discoveries. Given a sample population of elective spinal fusion patients, we identify two overarching subgroups driven by insurance type. The Medicare group, associated with lower socioeconomic status, exhibited an over-representation of negative risk factors. The findings provide a compelling depiction of the interwoven socioeconomic and racial disparities present within the healthcare system, highlighting their consequential effects on health inequalities. The results are intended to guide design of fair and precise machine learning models based on intentional integration of population stratification.
Details
- Language :
- English
- ISSN :
- 2335-6936
- Volume :
- 29
- Database :
- MEDLINE
- Journal :
- Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
- Publication Type :
- Academic Journal
- Accession number :
- 38160292