• Akhram Khasnovich Nishanov Tashkent University of Information Technologies
  • Gulomjon Djurayev Tashkent University of Information Technologies
  • Malika Akhramovna Khasanova Tashkent Medical Academy
Keywords: pattern recognition, remoteness and proximity functions, estimation algorithms, classification, informative features


The paper examines the issues of diagnosis and treatment of cardiovascular diseases, commonly encountered in diagnostic decision-making, when medical data are processed. The issues of classification of heart diseases and detection of informative signs are solved on the basis of estimation algorithms. In addition, the appropriate software was developed.

The main goal of the research is to solve such issues as constructing inter-object remoteness in a complex of informative features that distinguish objects of diagnostic classes, select a complex of signs that characterize mutual differences of objects, and also identify the value of the proximity function when diagnosing an unknown object [1-5].

The level of significance or representation of the set belonging to the j-object of -class, which are the main stages of the algorithms for calculating its assessment relative to the class [1-5], was revealed.

An algorithm for diagnosing an unknown object in the space of informative features was proposed. The suggested theoretical ideas were confirmed in practice. In addition, the decision rules in this space and their software were developed [4-5].


Download data is not yet available.

Author Biographies

Akhram Khasnovich Nishanov, Tashkent University of Information Technologies
Professor in Department of Information Technology Software
Gulomjon Djurayev, Tashkent University of Information Technologies
Independent researcher of the Scientific Innovation Center
Malika Akhramovna Khasanova, Tashkent Medical Academy
assistent in Faculty and hospital therapy department


. Zhuravlev Yu.I. Selected scientific works. –M: ‘Magistr’ Publishing house, 1998. - 420 p.

. Zagoruiko N.G. Applied methods of data and knowledge analysis. Novosibirsk: Publishing House of the Inst. of Mathematics, 1999. - 270 p.

. Zhuravlev Yu.I., Ryazanov V.V., Senko O.V. Recognition. Mathematical methods. Software system Practical applications. M.: Fazis, 2006. – 159 p.

. Khaykin S. Neural Networks: The Complete Book. M .: Williams. 2006. - 1104 p.

. Kamilov M.M., Mirzaev N.M., Radjabov S.S. On one modification of the model of recognition algorithms based on the estimation // Reports of the Academy of Sciences of the Republic of Uzbekistan. Tashkent, 2009. No. 2. - pp.18-20.

. Kamilov M.M., Mirzaev N.M., Radjabov S.S. The current state of the issues of constructing models of recognition algorithms // Chemical Technology. Control and Management. Tashkent. 2009. No. 2. - pp.67-72.

. Vorontsov K.V. Combinatorial theory of learning reliability for precedents. Dis. for the degree of Ph.D. Med. Sc. M.: CC of RAS, 2010. - 232 p.

. Sh.Kh. Fazylov, N.M. Mirzaev, S.S. Radjabov Constructing a model of algorithms for calculating estimates taking into account the high dimensionality of the feature space. Bulletin of GGTU, 2012, No.1 (64), Issue 2. - 274-279 pp.

. Nefedov A.V. Effective algorithms based on the calculation of estimates, with rectangular reference sets for image recognition problems. Dis. for the degrees Ph.D. Med. Sc.: CC of RAS, 2012. - 124 p.

. Kamilov M.M., Nishanov A.Kh., Beglerbekov R.Zh. The use of decision rules for the selection of informative feature sets // Chemical technology. Control and Management. - Tashkent, 2017, No.3. - 82-85.

. Kamilov M.M., Nishanov A.Kh., Djuraev G.P. Algorithm for classification of medical data in the space of informative features using the function of distance and proximity//Chemical Technology. Control and Management. - Tashkent, 2018, No. 1-2. –pp. 143-150.

. Nishanov A.Kh., Djuraev G.P., Narziyev N.B. The use of algorithms for calculating estimates in myocardial infarction diseases/ Descendants of Muhammad al-Khwarizmi. - Tashkent, 2018, No. 2. - 40-44 pp.

. Fazylov Sh.Kh., Nishanov A.Kh., Mamatov N.S. Methods and algorithms for selection of informative features based on heuristic criteria of informativeness. Tashkent: Fan va Tekhnologiya. 2017 - 132 p.

How to Cite
Nishanov, A. K., Djurayev, G., & Khasanova, M. A. (2019). IMPROVED ALGORITHMS FOR CALCULATING EVALUATIONS IN PROCESSING MEDICAL DATA. COMPUSOFT: An International Journal of Advanced Computer Technology, 8(6). Retrieved from