Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data

Title
Predicting and analyzing injury severity: A machine learning-based approach using class-imbalanced proactive and reactive data
Authors
Keywords
Reactive and proactive data, Class-imbalance, Oversampling techniques, Classification algorithms, Injury severity prediction, Tolerance rough set approach (TRSA)
Journal
SAFETY SCIENCE
Volume 125, Issue -, Pages 104616
Publisher
Elsevier BV
Online
2020-02-12
DOI
10.1016/j.ssci.2020.104616

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