Predicting 30-day mortality in severely injured elderly patients with trauma in Korea using machine learning algorithms: a retrospective study

Predicting 30-day mortality in severely injured elderly patients with trauma in Korea using machine learning algorithms: a retrospective study

Purpose The number of elderly patients with trauma is increasing; therefore, precise models are necessary to estimate the mortality risk of elderly patients with trauma for informed clinical decision-making. This study aimed to develop machine learning based predictive models that predict 30-day mor...

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Bibliographic Details
Main Authors: Jonghee Han, Su Young Yoon, Junepill Seok, Jin Young Lee, Jin Suk Lee, Jin Bong Ye, Younghoon Sul, Se Heon Kim, Hong Rye Kim
Format: Article
Language:English
Published: Korean Society of Traumatology 2024-09-01
Series:Journal of Trauma and Injury
Subjects:
wounds and injuries
aged
mortality
prediction model
machine learning
Online Access:http://jtraumainj.org/upload/pdf/jti-2024-0024.pdf
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http://jtraumainj.org/upload/pdf/jti-2024-0024.pdf

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