Pediatric asthma population risk stratification using k-means clustering

Interventions to reduce pediatric asthma disparities should address social, economic, and environmental inequities. Clustering identified children from low child opportunity areas in Arkansas, with a high percentage of Black children, as a high-risk group for asthma exacerbations, underscoring the potential of population risk stratification for tailoring interventions.

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Publication Details

Journal
Journal of Asthma
Published
2025-08-29
DOI
https://doi.org/10.1080/02770903.2025.2552745
Primary Topic
Asthma and respiratory diseases
Type
article
Field-Weighted Citation Impact
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Pediatric asthma population risk stratification using k-means clustering

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Pediatric asthma population risk stratification using k-means clustering

Erhan Ararat, Arina Eyimina, Clare C. Brown, Tamara T. Perry, Mandana Rezaeiahari, Akilah A. Jefferson, M.E. Boyd, J. Mick Tilford
article en

Abstract

Interventions to reduce pediatric asthma disparities should address social, economic, and environmental inequities. Clustering identified children from low child opportunity areas in Arkansas, with a high percentage of Black children, as a high-risk group for asthma exacerbations, underscoring the potential of population risk stratification for tailoring interventions.

Journal of AsthmaVol. 62(12)
Arkansas Children's Hospital (US), University of Arkansas Medical Center (US), University of Arkansas for Medical Sciences (US)
Openalex Percentile: Top 71%
Asthma and respiratory diseases
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