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Applying decision tree algorithm to explore occupational injuries in the Turkish construction industry
المؤلفون المشاركون
Tetik, Yilmaz Ogunc
Kale, Ozge Akboga
Bayram, Irem
Baradan, Salim
المصدر
Journal of Engineering Research
العدد
المجلد 10، العدد 3 B (30 سبتمبر/أيلول 2022)، ص ص. 59-70، 12ص.
الناشر
جامعة الكويت مجلس النشر العلمي
تاريخ النشر
2022-09-30
دولة النشر
الكويت
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Occupational injuries and fatalities are one of the most significant issues in the construction industry.
Variables, such as workers’ behavior, age, worksite condition, and type of activity, play key roles in the occurrence of construction accidents.
In recent years, data mining techniques have been successfully used not only in health, economy, and social sciences, but also in construction-related fields.
In this study, C5.0 decision tree algorithm was used to analyze the accident data obtained from the Social Security Institution of Turkey.
A classification tree model was created to discover the associations between the attributes.
The results show the relationship between the injury status of workers and the attributes, and the accuracy rate of the model was 70.26%.
Meanwhile, according to findings, unsafe conditions, type of accident, and activity type were the most important attributes in the model.
Furthermore, the predictor importance of the attributes was compared, and several outcomes were discovered; for instance, the workers’ educational background has greater predictive power than age.
On the other hand, the branches of the decision tree pointed out several attribute sequences due to their high rated serious/fatal injury rates.
The results of this study can be used in the prevention and mitigation strategies for construction accidents.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tetik, Yilmaz Ogunc& Kale, Ozge Akboga& Bayram, Irem& Baradan, Salim. 2022. Applying decision tree algorithm to explore occupational injuries in the Turkish construction industry. Journal of Engineering Research،Vol. 10, no. 3 B, pp.59-70.
https://search.emarefa.net/detail/BIM-1495343
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tetik, Yilmaz Ogunc…[et al.]. Applying decision tree algorithm to explore occupational injuries in the Turkish construction industry. Journal of Engineering Research Vol. 10, no. 3 B (Sep. 2022), pp.59-70.
https://search.emarefa.net/detail/BIM-1495343
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tetik, Yilmaz Ogunc& Kale, Ozge Akboga& Bayram, Irem& Baradan, Salim. Applying decision tree algorithm to explore occupational injuries in the Turkish construction industry. Journal of Engineering Research. 2022. Vol. 10, no. 3 B, pp.59-70.
https://search.emarefa.net/detail/BIM-1495343
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references : p. 69-70
رقم السجل
BIM-1495343
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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