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Investigating injury severity risk factors in automobile crashes with predictive analytics and sensitivity analysis methods
Dursun Delen
, Leman Tomak
, Kazim Topuz
, Enes Eryarsoy
Center for Health Systems Innovation
Research output
:
Contribution to journal
›
Article
›
peer-review
112
Scopus citations
Overview
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Dive into the research topics of 'Investigating injury severity risk factors in automobile crashes with predictive analytics and sensitivity analysis methods'. Together they form a unique fingerprint.
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Keyphrases
Risk Factors
100%
Sensitivity Analysis
100%
Predictive Analytics
100%
Automobile Accidents
100%
Injury Severity
100%
Analytic Analysis
100%
Severity Risk
100%
Crash
80%
Related Risk Factors
60%
Injury Levels
40%
Well-being
20%
Injury Risk
20%
Analytic Study
20%
Feature-rich
20%
Predictive Models
20%
Challenging Problems
20%
Information Fusion
20%
Traffic Accidents
20%
Motor Vehicle Crash
20%
Analytical Algorithm
20%
Systematic Series
20%
Severe Injury
20%
Computer Science
Predictive Analytics
100%
Relative Importance
66%
Predictive Model
33%
Engineering
Relative Importance
100%
Highway Accidents
50%
Pharmacology, Toxicology and Pharmaceutical Science
Injury Severity
100%
Injury
20%