¿µ¹®³»¿ë (English Abstract) |
The purpose of this paper is to construct a model for estimating occurrence of respiratory diseases using weather and air pollution data. We collect the data for one year. We use a Linear Support Vector Machine (SVM), Random Forest, Deep Neural Network (DNN), Ensemble modeling technique. As a result, the ensemble model has the highest performance (F1-Score: 0.7328, AUC: 0.7273). From these results, we found that improving the atmospheric environment has a significant impact on improving people's health.
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