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- W2986165792 abstract "Nowadays the United State is going through a national crisis regarding the use of synthetic and non-synthetic opioids. In this paper, firstly, we will describe the spread and characteristic of opioid cases based on Multi-Layer Perceptron (MLP). Then find the possible place where opioid might have started with and predict the future situation. Secondly, we select some most important evaluation indexes by regression analysis. Thirdly, improve the model by using Principal Component Analysis (PCA) to have dimension reduction of the thirteen most important evaluation indexes and construct the comprehensive effect factor as model's inputs to describe the influence of location and the U.S. Census socio-economic conditions." @default.
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- W2986165792 date "2019-10-01" @default.
- W2986165792 modified "2023-10-18" @default.
- W2986165792 title "Research on Opioid Propagation in the United States Based on Artificial Neural Network" @default.
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- W2986165792 doi "https://doi.org/10.1088/1742-6596/1314/1/012204" @default.
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