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Methods of Intelligent Analysis for Assessing The Effectiveness of Medicines used in Non-Small Cell Lung Cancer

Suyunov Nizom DavurovichDoctor of Sciences in Pharmaceutics, Professor, Head of Department of Pharmaceutical Organization of the Tashkent Pharmaceutical Institute, ORCID: 0000-0002-2712-958XRajabova Nargiza KhalimovnaDoctor of Philosophy (PhD) Pharmaceutical Sciences, Senior Lecturer of the Department of Pharmaceutical Organization of the Tashkent Pharmaceutical Institute. ORCID:0000-0003-2237-150X
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Non-small cell lung cancer (NSCLC) accounts for approximately 85% of all lung cancer cases, with adenocarcinoma and squamous cell carcinoma being the predominant histological subtypes. The high cost of novel therapies has led to the need for comprehensive pharmacoeconomic evaluations to optimize treatment strategies. This study was determined on the evaluation of the effectiveness of medicines used for in non-small cell lung cancer by intellectual analysis methods. A questionnaire was conducted among medical experts and the research used statistical, modern methods of intellectual data analysis, methods of processing information on medicines consumption, in particular preprocessing, domination intervals and generalized estimations. The results of the expert assessment serve as a basis for improving the supply of medicines to patients with lung cancer, and for the production of new medicines or their generics for manufacturing pharmaceutical enterprises. The results of the expert assessment serve as a basis for improving the supply of medicines to patients with lung cancer, and for the production of new medicines or their generics for manufacturing pharmaceutical enterprises.

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