A Comparative Study on the Prediction of Occupational Diseases in China with Hybrid Algorithm Combing Models
المؤلفون المشاركون
Lu, Yaoqin
Yan, Huan
Zhang, Lijiang
Liu, Jiwen
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2019، العدد 2019 (31 ديسمبر/كانون الأول 2019)، ص ص. 1-10، 10ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2019-09-29
دولة النشر
مصر
عدد الصفحات
10
التخصصات الرئيسية
الملخص EN
Occupational disease is a huge problem in China, and many workers are under risk.
Accurate forecasting of occupational disease incidence can provide critical information for prevention and control.
Therefore, in this study, five hybrid algorithm combing models were assessed on their effectiveness and applicability to predict the incidence of occupational diseases in China.
The five hybrid algorithm combing models are the combination of five grey models (EGM, ODGM, EDGM, DGM, and Verhulst) and five state-of-art machine learning models (KNN, SVM, RF, GBM, and ANN).
The quality of the models were assessed based on the accuracy of model prediction as well as minimizing mean absolute percentage error (MAPE) and root-mean-squared error (RMSE).
Our results showed that the GM-ANN model provided the most precise prediction among all the models with lowest mean absolute percentage error (MAPE) of 3.49% and root-mean-squared error (RMSE) of 1076.60.
Therefore, the GM-ANN model can be used for precise prediction of occupational diseases in China, which may provide valuable information for the prevention and control of occupational diseases in the future.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Lu, Yaoqin& Yan, Huan& Zhang, Lijiang& Liu, Jiwen. 2019. A Comparative Study on the Prediction of Occupational Diseases in China with Hybrid Algorithm Combing Models. Computational and Mathematical Methods in Medicine،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1130728
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Lu, Yaoqin…[et al.]. A Comparative Study on the Prediction of Occupational Diseases in China with Hybrid Algorithm Combing Models. Computational and Mathematical Methods in Medicine No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1130728
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Lu, Yaoqin& Yan, Huan& Zhang, Lijiang& Liu, Jiwen. A Comparative Study on the Prediction of Occupational Diseases in China with Hybrid Algorithm Combing Models. Computational and Mathematical Methods in Medicine. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1130728
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1130728
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر