A pilot study for investigating the feasibility of supervised machine learning approaches for the classification of pedestrians struck by vehicles-Reference-Cited by-同舟云学术

A pilot study for investigating the feasibility of supervised machine learning approaches for the classification of pedestrians struck by vehicles

Published:2021-11 Issue: Volume:84 Page:102256
ISSN:1752-928X
Container-title:Journal of Forensic and Legal Medicine
language:en
Short-container-title:Journal of Forensic and Legal Medicine

Author:

Casali Michelangelo,Malchiodi Dario^ORCID,Spada Claudio^ORCID,Zanaboni Anna Maria,Cotroneo Rosy^ORCID,Furci Domenico^ORCID,Sommariva Andrea,Genovese Umberto,Blandino Alberto^ORCID

Publisher

Elsevier BV

Subject

Law,General Medicine,Pathology and Forensic Medicine

Reference44 articles.

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4. Effects of vehicle size on pedestrian injury pattern and severity: Prospective study;Aleassa;World J Surg,2013

5. Pedestrian injury patterns according to car and casualty characteristics in France;Martin;Ann Adv Automot Med,2011

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