Ontology highlight
ABSTRACT:
SUBMITTER: Orlenko A
PROVIDER: S-EPMC11250986 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature
Orlenko Alena A Freda Philip J PJ Ghosh Attri A Choi Hyunjun H Matsumoto Nicholas N Bright Tiffani J TJ Walker Corey T CT Obafemi-Ajayi Tayo T Moore Jason H JH
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing 20240101
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 ...[more]