Comparison of mortality prediction models for road traffic accidents: an ensemble technique for imbalanced data

Comparison of mortality prediction models for road traffic accidents: an ensemble technique for imbalanced data

Abstract Background Injuries caused by RTA are classified under the International Classification of Diseases-10 as ‘S00-T99’ and represent imbalanced samples with a mortality rate of only 1.2% among all RTA victims. To predict the characteristics of external causes of road traffic accident (RTA) inj...

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Bibliographic Details
Main Authors: Yookyung Boo, Youngjin Choi
Format: Article
Language:English
Published: BMC 2022-08-01
Series:BMC Public Health
Subjects:
Imbalanced data
Ensemble method
Road traffic accident injury
Mortality prediction
Machine learning
Online Access:https://doi.org/10.1186/s12889-022-13719-3

Internet

https://doi.org/10.1186/s12889-022-13719-3

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