ALGORITHM FOR CLUSTERING DIFFERENT TYPES OF DRUGS AFFECTING BLOOD PRESSURE
Akhram NishanovTashkent University of Information Technologies named after Muhammad Al-KhwarizmiAlisher TursunovTashkent University of Information Technologies named after Muhammad Al-KhwarizmiFayzulla OllamberganovTashkent University of Information Technologies named after Muhammad Al-KhwarizmiDilfuza RashidovaTashkent University of Information Technologies named after Muhammad Al-Khwarizmi
ABI
Annotatsiya
This article presents the development of an algorithm and software for grouping different types of drugs that affect blood pressure in humans. The results are experimentally tested on a cross-section of more than 1,100 drugs that affect human blood pressure. Using the proposed algorithm, the training sample is formed and the problem of clustering is solved. The training set consists of ten classes. Selection symbols are given in different types, they consist of nominal and value symbols. The developed algorithm works taking into account both types of symbols. The classification of learning objects is experimentally tested using a neural network-based algorithm and software.
Hali tarjima qilinmagan
Mavzular
Identifikatorlar
Iqtiboslar va manbalar
0 ta iqtibos0 ta foydalanilgan manba
Koʻrsatkichlar — AkademScholar · Tez orada