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The solution of Opioid Flood Problem Based on Big Data Model

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DOI: 10.23977/bdacc.2020.010101 | Downloads: 11 | Views: 667

Author(s)

Wenhui Cai 1

Affiliation(s)

1 Zhejiang Yuexiu University of Foreign Languages College of International Finance and Trade

Corresponding Author

Wenhui Cai

ABSTRACT

Aiming at the problem of the drug epidemic in America, we put forward a model of drug epidemic spread. This paper determines the various reasons leading to the current situation, to formulate corresponding effective solutions. This model drew lessons from the spread of the infectious disease model and considering the drug flooding degree affected by time and distance in five states, the drug flood model of the five states is obtained through mathematical analysis. We first make time prediction and then select an appropriate mathematical model for data fitting to determine the parameters. To determine which state and where started the drug epidemic in the first place, we used Python to make a rendering of the drug epidemic degree in each county, so that the drug abuse situation in all counties of the five states could be reflected. When determining the threshold level of drugs, we conducted cluster analysis on drug categories, classified drugs, analyzed charts, determined the drugs with the most significant weight, established the confidence interval and then determined the drug threshold. The model established is used to analyze the influencing factors in combination with the existing policies of the United States to curb the drug epidemic. Some reasonable Suggestions are put forward to curb the drug epidemic.

KEYWORDS

time series model; infectious disease model; model fitting; cluster analysis; multi-factor influence correlation analysis

CITE THIS PAPER

Wenhui Cai. The solution of Opioid Flood Problem Based on Big Data Model . Big Data Analysis and Cloud Computing (2020) Vol. 1: 1-11. DOI: http://dx.doi.org/10.23977/bdacc.2020.010101.

REFERENCES

[1] Shafer S L, Flood P. The Pharmacology of Opioids, Geriatric Anesthesiology. 2008.
[2] Z. Zhao, J. Wang and Y. Liu, "User Electricity Behavior Analysis Based on K-Means Plus Clustering Algorithm," 2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC), Dalian, China, 2017, pp. 484-487. doi: 10.1109/ICCTEC.2017.00111
[3] Flood J F, Garland J S, Morley J E. Evidence that cholecystokinin-enhanced retention is mediated by changes in opioid activity in the amygdala, Brain Research, 1992, 585(1-2):94.
[4] Morley J E, Flood J F, Silver A J. Opioid peptides and aging, Annals of the New York Academy of Sciences, 2010, 579(1):123-132.
[5] L. Yi and W. Yi, "Decision Tree Model in the Diagnosis of Breast Cancer," 2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC), Dalian, China, 2017, pp. 176-179. doi: 10.1109/ICCTEC.2017.00046
[6] Zhu C J, Wu L P, Li S. Flood Forecasting Research Based on the Chaotic BP Neural Network Model, Key Engineering Materials, 2010, 439-440:411-416.
[7] Y. Wu, Y. Liu, S. H. Ahmed, J. Peng and A. A. A. El-Latif, "Dominant Dataset Selection Algorithms for Electricity Consumption Time-Series Data Analysis Based on Affine Transformation," in IEEE Internet of Things Journal. doi: 10.1109/JIOT.2019.2946753
[8] Marouane E M, Mostafa E, Mohammad E. Toward an optimal model based on inequality measures for treatment of historical & real time flood's dataset, Information Science & Technology. 2015.
[9] Zhang L, Zhuo Q. Notice of RetractionThe Research on Problem of Flood Insurance Pricing Based on the DFA in P. R. China,/ International Conference on Management & Service Science. 2010.
[10] Bannwarth B. Will Abuse-Deterrent Formulations of Opioid Analgesics Be Successful in Achieving Their Purpose? Drugs, 2012, 72(13):1713-1723.
[11] Lankenau S E, Walley A. Opioids and deaths, New England Journal of Medicine, 2011, 364(7):686.
[12] Racz G B, Noe C, Hansen H, et al. Medicolegal Aspects of Pain Medicine with Special Reference to Opioid Therapy, Techniques of Neurolysis. 2016.

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