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Open Access

Peer-reviewed

Research Article

Identifying intentional injuries among children and adolescents based on Machine Learning

Xiling Yin,

Roles Data curation, Project administration, Visualization, Writing – original draft

Affiliation Department of Public Health and Health Research, Center for Disease Control and Prevention of Zhuhai City, Zhuhai, Guangdong, China
⨯
Dan Ma,

Roles Data curation, Investigation, Project administration

Affiliation Department of Public Health and Health Research, Center for Disease Control and Prevention of Zhuhai City, Zhuhai, Guangdong, China
⨯
Kejing Zhu,

Roles Conceptualization, Data curation, Investigation

Affiliation Department of Public Health and Health Research, Center for Disease Control and Prevention of Zhuhai City, Zhuhai, Guangdong, China
⨯
Deyun Li

Roles Formal analysis, Methodology, Supervision, Writing – review & editing

* E-mail: ljdycn@163.com

Affiliation Department of Public Health and Health Research, Center for Disease Control and Prevention of Zhuhai City, Zhuhai, Guangdong, China

https://orcid.org/0000-0001-7328-1390

⨯

Identifying intentional injuries among children and adolescents based on Machine Learning

Xiling Yin,
Dan Ma,
Kejing Zhu,
Deyun Li

x

Published: January 20, 2021
https://doi.org/10.1371/journal.pone.0245437

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Adolescents
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Self harm
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Head injury
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Burns
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Child abuse
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Traumatic injury
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Children
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Machine learning
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