Hybrid feature selection-based machine learning Classification system for the prediction of injury s...
Hybrid feature selection-based machine learning Classification system for the prediction of injury severity in single and multiple-vehicle accidents
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Publisher
United States: Public Library of Science
Journal title
Language
English
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Publisher
United States: Public Library of Science
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Scope and Contents
Contents
To undertake a reliable analysis of injury severity in road traffic accidents, a complete understanding of important attributes is essential. As a result of the shift from traditional statistical parametric procedures to computer-aided methods, machine learning approaches have become an important aspect in predicting the severity of road traffic in...
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Full title
Hybrid feature selection-based machine learning Classification system for the prediction of injury severity in single and multiple-vehicle accidents
Authors, Artists and Contributors
Author / Creator
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TN_cdi_plos_journals_2624919734
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2624919734
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0262941
