Composite socio-environmental risk score for cardiovascular assessment: An explainable machine learning approach

The SE-MACE risk score effectively incorporates socio-environmental factors into cardiovascular risk assessment, identifying individuals at higher risk for MACE and supporting the need for holistic assessment frameworks. Further validation in diverse settings is recommended to confirm these findings.

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Publication Details

Journal
American Journal of Preventive Cardiology
Published
2025-03-17
DOI
https://doi.org/10.1016/j.ajpc.2025.100964
Citations
3
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
3.60

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article

Composite socio-environmental risk score for cardiovascular assessment: An explainable machine learning approach

Jean‐Eudes Dazard, Pedro Rafael Vieira de Oliveira Salerno, Sadeer G Al-Kindi, Mohamed H. E. Makhlouf et al.
3 citations
American Journal of Preventive Cardiology
Health, Environment, Cognitive Aging
3.60
article

Composite socio-environmental risk score for cardiovascular assessment: An explainable machine learning approach

Jean‐Eudes Dazard, Pedro Rafael Vieira de Oliveira Salerno, Sadeer G Al-Kindi, Mohamed H. E. Makhlouf, Santosh Kumar Sirasapalli, Zhuo Chen, Sanjay Rajagopalan
article en
3 citations

Abstract

The SE-MACE risk score effectively incorporates socio-environmental factors into cardiovascular risk assessment, identifying individuals at higher risk for MACE and supporting the need for holistic assessment frameworks. Further validation in diverse settings is recommended to confirm these findings.

American Journal of Preventive CardiologyVol. 22
Houston Methodist (US), University Hospitals of Cleveland (US)
National Institute on Minority Health and Health Disparities
Climate action
Openalex Percentile: Top 9%
Health, Environment, Cognitive Aging
3.60
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