The use of cluster analysis at the development of approaches on selection and administration of treatment to HIV-infected patients
https://doi.org/10.20538/1682-0363-2017-3-52-60
Abstract
The purpose of the study is the formation production rules for selecting combinations of antiretroviral drugs for patients with HIV infection for optimal therapy.
Materials and methods. The cluster analysis base is the choice of patients whose treatment can be assessed as successful. As a result of the selection of effective treatment cases, 79 patients were left in the study out of 123 examined cards of patients treated at the Perm Regional AIDS and Infectious Diseases Center. As input parameters for the cluster analysis, the patient’s sex, the stage of the main disease at the time of antiretroviral therapy, the way of HIV infection, and presence of opportunistic diseases were selected. As an output variable, the prescribed treatment regimen was adopted. Analysis of treatment of patients (79 cases) showed that the optimal solution is using nine clusters.
Results. The results of this analysis allow us to formulate production rules for the selection of antiretroviral drugs to create an expert system that allows us to optimize the rational choice, designation and use of drugs for the treatment of HIV-infected patients.
About the Authors
Nadezhda A. Gudilina
Perm State Pharmaceutical Academya
Russian Federation
Postgraduate Student of the Department of Management and Economics of Pharmacy, Perm State Pharmaceutical Academy, Perm, Russian Federation
Russian Federation
Postgraduate Student of the Department of Management and Economics of Pharmacy, Perm State Pharmaceutical Academy, Perm, Russian Federation
El’vira S. Ivanova
Perm Regional Center for Prevention and Control of AIDS and Infectious Diseases
Russian Federation
PhD, Department Manager of Medical Care, Perm Regional Center for Prevention and Control of AIDS and Infectious Diseases, Perm, Russian Federation.
Russian Federation
PhD, Department Manager of Medical Care, Perm Regional Center for Prevention and Control of AIDS and Infectious Diseases, Perm, Russian Federation.
Andrey V. Sibiryakov
Perm National Research Polytechnical University
Russian Federation
Master of the Department of Information Technologies and Automated Systems, Perm National Research Polytechnical University, Perm, Russian Federation.
Russian Federation
Master of the Department of Information Technologies and Automated Systems, Perm National Research Polytechnical University, Perm, Russian Federation.
Natal’ya V. Mekhonoshina
Perm National Research Polytechnical University
Russian Federation
Master of the Department of Information Technologies and Automated Systems, Perm National Research Polytechnical University, Perm, Russian Federation
Russian Federation
Master of the Department of Information Technologies and Automated Systems, Perm National Research Polytechnical University, Perm, Russian Federation
Natal’ya B. Rostova
Perm State Pharmaceutical Academya
Russian Federation
DPhSc, Professor, Department of Management and Economics of Pharmacy, Perm State Pharmaceutical Academy, Perm, Russian Federation.
Russian Federation
DPhSc, Professor, Department of Management and Economics of Pharmacy, Perm State Pharmaceutical Academy, Perm, Russian Federation.
Rustam A. Fayzrakhmanov
Perm National Research Polytechnical University
Russian Federation
DESc, Professor, Head of the Department Information Technologies and Automated Systems, Perm National Research Polytechnical University, Perm, Russian Federation
Russian Federation
DESc, Professor, Head of the Department Information Technologies and Automated Systems, Perm National Research Polytechnical University, Perm, Russian Federation
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Review
For citations:
Gudilina N.A., Ivanova E.S., Sibiryakov A.V., Mekhonoshina N.V., Rostova N.B., Fayzrakhmanov R.A. The use of cluster analysis at the development of approaches on selection and administration of treatment to HIV-infected patients. Bulletin of Siberian Medicine. 2017;16(3):52-60. (In Russ.) https://doi.org/10.20538/1682-0363-2017-3-52-60
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