Development of Intelligent System to Diagnose and Predict Socially Significant Diseases

Student: Sayfutdinova Valeriya

Faculty: Faculty of Economics, Management, and Business Informatics

Educational Programme: Business Informatics (Bachelor)

Final Grade: 8

Year of Graduation: 2017

The diagnosis and prognosis of chemical dependency are topical issue today. An artificial intelligence technology is suitable to solve this problem. There is an analysis of research in this paper. Intelligent system was designed. Designed system was based on the method of neural network. This system allows to assess the impact of each factor on the chemical dependency development. It is also possible to find the optimal combination of factors for each person. Thus it is possible to to get individual recommendations to reduce chemical dependency.

Full text (added May 29, 2017)

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