Drug abuse models based on large data analysis
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Bingze Chen, Yaoran Huang
In our report, we summarized and analyzed the data on the number of drug cases and related factors given by the NFLS database since 2010. After modeling, we get the models of the number of drugreports changing with time in five states, and modify and optimize them. Based on this model, the number and distribution of drug cases in each state in the future are predicted, and suggestions for controlling drug transmission are put forward.
Drugreports, Curve Fitting, Correlation, PCA