Cluster Analysis reveals Socioeconomic Disparities among Elective Spine Surgery Patients.
Pac Symp Biocomput
; 29: 359-373, 2024.
Article
de En
| MEDLINE
| ID: mdl-38160292
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.
Texte intégral:
1
Collection:
01-internacional
Base de données:
MEDLINE
Sujet principal:
Medicare (USA)
/
Socioeconomic Disparities in Health
Limites:
Aged
/
Humans
Pays/Région comme sujet:
America do norte
Langue:
En
Journal:
Pac Symp Biocomput
/
Pac. sypm. biocomput. (Online)
/
Pacific symposium on biocomputing ... (Online)
Sujet du journal:
BIOTECNOLOGIA
/
INFORMATICA MEDICA
Année:
2024
Type de document:
Article
Pays de publication:
États-Unis d'Amérique