Application of Birth Defect Prediction Model Based on C5.0 Decision Tree Algorithm
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As newborn children commonly suffer from diseases, birth defects have become a problem of social concern. Birth defect is not only the key cause of childhood disease, but also the main factor of child death. In this paper, the birth defect prediction model is applied in this paper based on the principle of decision tree classification and prediction algorithm. Firstly, the theory of C5.0 decision tree algorithm is expounded. Secondly, the data of birth defect prediction model is analyzed and designed. Then, the performance of C4.5 algorithm and C5.0 algorithm is compared. Finally, the C5.0 decision tree algorithm is selected to construct the prediction model of birth defect. The result shows that the C5.0 decision tree algorithm has good predictive value for birth defect prediction model.
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