Machine Learning Insights Into Social Determinants Driving Child Abuse in Pediatric Traumatic Brain Injury

SDOH, particularly unemployment, crowding, and persons of racial or ethnic minority status are strongly associated with SCA in pediatric TBI patients, highlighting the need for targeted interventions to mitigate these disparities.

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Publication Details

Journal
Neurosurgery
Published
2025-09-09
DOI
https://doi.org/10.1227/neu.0000000000003720
Primary Topic
Emergency and Acute Care Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Machine Learning Insights Into Social Determinants Driving Child Abuse in Pediatric Traumatic Brain Injury

Foad Kazemi, Melanie Alfonzo Horowitz, Alan R. Cohen, David Lee
Neurosurgery
Emergency and Acute Care Studies
article

Machine Learning Insights Into Social Determinants Driving Child Abuse in Pediatric Traumatic Brain Injury

Foad Kazemi, Melanie Alfonzo Horowitz, Alan R. Cohen, David Lee
article en

Abstract

SDOH, particularly unemployment, crowding, and persons of racial or ethnic minority status are strongly associated with SCA in pediatric TBI patients, highlighting the need for targeted interventions to mitigate these disparities.

NeurosurgeryVol. 98(4)
Johns Hopkins University (US), Johns Hopkins Medicine (US)
Openalex Percentile: Top 64%
Emergency and Acute Care Studies
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