Open AccessAnalysis of Drug Use based on Grey Prediction Model
Author(s) -
Yingai Chen,
Yanyan Zhao,
Jinhan Chen
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1650/3/032145
Subject(s) - grey relational analysis , ranking (information retrieval) , drug , addiction , medicine , recreation , environmental health , computer science , actuarial science , risk analysis (engineering) , statistics , economics , psychiatry , artificial intelligence , mathematics , political science , law
The morbidity and mortality related to the use of opioids have not decreased significantly. At present, the main measure to solve the crisis of opioids is to prevent the use of recreational drugs. However, addiction to medical drugs is also an important cause of the crisis. In this paper, the related prediction and analysis of these drug use problems are carried out. In view of the many socio-economic factors provided, First of all, MATLAB is adopted for grey relational analysis. Through the ranking of socio-economic factors and the total number of drug reports, the ten factors with the highest correlation degree are obtained. And then we’re sifting through all of these socio-economic factors to determine the nine most numerous factors. Finally, the prediction results of the model are given.