The Method of Applying the Algorithm of Calcu-lating Grades for Finding Similar Diagnostics in Medical Information Systems
M. М. Kamilov1, O. K. Khujaev2, N.A.Egamberdiyev3, A.X. Chorshanbiyev4
1M.М.Kamilov, Department of Software Engineering, Tashkent University of Information Technologies Muhammad al-Khwarizmi, Tashkent, Uzbekistan.
2O.K.Khujaev, Department of Information Education Technologies, Urgench Branch of Tashkent University of Information Technologies Muhammad al-Khwarizmi, Tashkent, Uzbekistan.
3N.A.Egamberdiyev, Department of Software Engineering, Tashkent University of Information Technologies Muhammad al-Khwarizmi, Tashkent, Uzbekistan.
4A.X. Chorshanbiyev, Department of Software Engineering, Tashkent University of Information Technologies Muhammad al-Khwarizmi, Tashkent, Uzbekistan.
Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 26 April 2019 | PP: 722-724 | Volume-8 Issue-6S April 2019 | Retrieval Number: F61590486S19/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: This paper focuses on the problem of ranking, where is one of the issues of intelligent data analysis based on the medical information system database. Given common mathematical description of ranking task and analyzed Rank Boost, Rank SVM, IR-SVM algorithms for solving ranking task and also said its applications. In addition, the neuronal network, which is heuristic method, has been designed to solve the problem of ranking to the feed forward neural network model. And so on six stages calculating ranks algorithm for classification task is applied and are taken results for searching similar diagnosis in database of medical information system and redesigned in three stages. Results checked and compared algorithm accuracy on based data base of medical information system. Moreover flowchart of adopted variant of calculating ranks algorithm for solving ranking task is given.
Keywords: Ranking, Rank Boost, Rank SVM, IR-SVM, Feed Forward Neural Network, Algorithm of Calculating Ranks.
Scope of the Article: Systems and Software Engineering