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Eneida A Mendonça

Biographic Data

ID5545226
NAMEEneida A Mendonça
GIVEN NAMESEneida A
FAMILY NAMEMendonça
SIGNATUREMENDONÇA E A
AFFILIATIONSCincinnati Children's Hospital Medical Center
ORCID0000-0003-4297-9221
VERIFIEDNo
TOTAL WORKS3
TOTAL CITATIONS0
WORKS AS AUTHOR3
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2019
LATEST PUBLICATION YEAR2026
H-INDEX0
  • Redlining, Community Wealth, and Air Pollution

    Open Access•Jorja Kahn, Heike Luttmann-Gibson et al.•ARTICLE•Journal of Urban Health•2026•References: 1

    Despite US air quality improvements since the 1990 Clean Air Act Amendments, disparities in air pollution between communities persist. We studied whether persistent within-city geospatial disparities in pollution continued over time in historically minoritized and under-resourced areas codified as "redlined" in 1930's government mapping. We evaluated how longitudinal demographic patterns and disparities in community wealth and resources related t…

  • Clinical Practice Guideline for the Evaluation and Treatment of Children and Adolescents With Obesity

    Sarah E Hampl, Sarah Hampl et al.•ARTICLE•PEDIATRICS•2023

  • Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After Emergency Department Visits

    Brian W Patterson, Collin J Engstrom et al.•ARTICLE•Medical Care•2019•References: 38

    BACKGROUND: Machine learning is increasingly used for risk stratification in health care. Achieving accurate predictive models do not improve outcomes if they cannot be translated into efficacious intervention. Here we examine the potential utility of automated risk stratification and referral intervention to screen older adults for fall risk after emergency department (ED) visits. OBJECTIVE: This study evaluated several machine learning methodol…

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  • Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After Emergency Department Visits

    Brian W Patterson, Collin J Engstrom et al.•ARTICLE•Medical Care•2019•References: 38

    BACKGROUND: Machine learning is increasingly used for risk stratification in health care. Achieving accurate predictive models do not improve outcomes if they cannot be translated into efficacious intervention. Here we examine the potential utility of automated risk stratification and referral intervention to screen older adults for fall risk after emergency department (ED) visits. OBJECTIVE: This study evaluated several machine learning methodol…

  • Clinical Practice Guideline for the Evaluation and Treatment of Children and Adolescents With Obesity

    Sarah E Hampl, Sarah Hampl et al.•ARTICLE•PEDIATRICS•2023

  • Redlining, Community Wealth, and Air Pollution

    Open Access•Jorja Kahn, Heike Luttmann-Gibson et al.•ARTICLE•Journal of Urban Health•2026•References: 1

    Despite US air quality improvements since the 1990 Clean Air Act Amendments, disparities in air pollution between communities persist. We studied whether persistent within-city geospatial disparities in pollution continued over time in historically minoritized and under-resourced areas codified as "redlined" in 1930's government mapping. We evaluated how longitudinal demographic patterns and disparities in community wealth and resources related t…

Family medicine (2 works) · Medicine (2 works) · AdaBoost (1 work) · Air pollution (1 work) · Air Quality and Health Impacts (1 work) · Air quality index (1 work) · Algorithm (1 work) · Artificial Intelligence (1 work) · Artificial Intelligence (1 work) · Balance, Gait, and Falls Prevention (1 work)

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