Identification of the best machine learning model for the prediction of driver injury severity

IF 2.3 4区医学 Q2 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH

International Journal of Injury Control and Safety Promotion Pub Date : 2024-04-04 DOI:10.1080/17457300.2024.2335478

Neero Gumsar Sorum, Dibyendu Pal

引用次数: 0

Abstract

Predicting the injury severities sustained by drivers engaged in road traffic accidents is a key topic of research in road traffic safety. The current study analyzed the driver injury severity (DIS...

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确定预测驾驶员受伤严重程度的最佳机器学习模型

预测道路交通事故中驾驶员受伤的严重程度是道路交通安全研究的一个重要课题。本研究分析了驾驶员受伤严重程度（DIS...

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来源期刊

International Journal of Injury Control and Safety Promotion PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-

CiteScore

4.40

自引率

13.00%

发文量

期刊介绍： International Journal of Injury Control and Safety Promotion (formerly Injury Control and Safety Promotion) publishes articles concerning all phases of injury control, including prevention, acute care and rehabilitation. Specifically, this journal will publish articles that for each type of injury: •describe the problem •analyse the causes and risk factors •discuss the design and evaluation of solutions •describe the implementation of effective programs and policies The journal encompasses all causes of fatal and non-fatal injury, including injuries related to: •transport •school and work •home and leisure activities •sport •violence and assault