Multifactor analysis of cost of injury using classification and regression trees

The study finds that injury cost is the highest for polytrauma patients, followed by isolated injuries, and minor injuries. The machine learning analysis points to three unique findings: (1) The best predictor of cost is not a single factor but a combination of factors. (2) Injuries in Lower Extremities and Abdomen are very costly, while injuries to the Head region don't have immediate high cost but may have long-term cost effect. (3) Medical professional fees constitute about a third of injury costs.

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Publication Details

Journal
Traffic Injury Prevention
Published
2025-09-15
DOI
https://doi.org/10.1080/15389588.2025.2547046
Primary Topic
Traffic and Road Safety
Type
article
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Multifactor analysis of cost of injury using classification and regression trees

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Multifactor analysis of cost of injury using classification and regression trees

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article en

Abstract

The study finds that injury cost is the highest for polytrauma patients, followed by isolated injuries, and minor injuries. The machine learning analysis points to three unique findings: (1) The best predictor of cost is not a single factor but a combination of factors. (2) Injuries in Lower Extremities and Abdomen are very costly, while injuries to the Head region don't have immediate high cost but may have long-term cost effect. (3) Medical professional fees constitute about a third of injury costs.

Traffic Injury PreventionVol. 26(sup1)
University of Maryland, Baltimore (US), University of Maryland Medical Center (US), University of Maryland Medical System (US)
Openalex Percentile: Top 70%
Traffic and Road Safety
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