Academic Journal of Computing & Information Science, 2019, 2(1); doi: 10.25236/AJCIS.010025.
Zhou Xiaochen
North China Electric Power University, Beijing, China
Using a linear fitting method to identify locations where specific opioid uses might has started in five states. Next, using the logistic model to find out the growing rules of reported opioids incidents, and getting the threshold is 268 380. Finally, this paper uses a grey model to predict the future.
Logistic model, Origin inference model, Linear fitting method, Grey model
Zhou Xiaochen, The Prediction and Analysis of Opioid Crisis. Academic Journal of Computing & Information Science (2019) Vol. 2: 120-126. https://doi.org/10.25236/AJCIS.010025.
[1] WANG Yong. Solution of Logistic population model[J].Journal of Harbin University of Commerce(Natural Science Edition),2006(05):58-59.
[2] KONG Xue, WANG Li, FENG Yi-hua.Review and Prospects of the Application Status of GM (1, 1) [J].Qilu University of Technology (Shandong Academy of Sciences), 2018, 32(06):49-53.
[3] Troy Quast, Melissa A. Bright,Chris Delcher. The relationship between foster care entries and high-dose opioid prescribing in California [J]. Addictive Behaviors, 2019.
[4] Diao Weikang, He Jiafen, Chen Jianzhi. The Application of Linear Regression Model in Web Development Software [J].Gansu Science and Technology, 2018, 34(18):17-18.
[5] U.S.Nationalmap. https://viewer.nationalmap.gov/basic/#productSearch.