Applicability of feature selection combined with Boosting algorithm in severity prediction of non-fatal occupational injuries in miners

Applicability of feature selection combined with Boosting algorithm in severity prediction of non-fatal occupational injuries in miners

BackgroundIdentification and analysis of influencing factors of occupational injury is an important research content of feature selection. In recent years, with the rise of machine learning algorithms, feature selection combined with Boosting algorithm provides a new analysis idea to construct occup...

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Bibliographic Details
Main Authors: Youhua MO, Ting XU, Shidi MENG, Xiaojun ZHU, Jingguang FAN
Format: Article
Language:English
Published: Editorial Committee of Journal of Environmental and Occupational Medicine 2023-10-01
Series:环境与职业医学
Subjects:
non-fatal occupational injury
machine learning
boosting algorithm
feature selection
lost working days
Online Access:http://www.jeom.org/article/cn/10.11836/JEOM23172

Internet

http://www.jeom.org/article/cn/10.11836/JEOM23172

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