DETECTING THE UROLOGIC DISEASES BY MEANS OF MULTIFACTORIAL HIERARCHIC NEURAL NETWORKS
The article offers a multifactorial hierarchy structure of neural network modules, developed to diagnose the urologic diseases by processing versatile heterogeneous parameters. These parameters are obtained by carrying out uroflowmetry in patients, using a uroflometer. Based on the results of the an...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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National Aerospace University «Kharkiv Aviation Institute»
2016-09-01
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| Series: | Радіоелектронні і комп'ютерні системи |
| Subjects: | |
| Online Access: | http://nti.khai.edu/ojs/index.php/reks/article/view/867 |
| _version_ | 1797683368769355776 |
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| author | Н. И. Федоренко И. М. Антонян Р. В. Стецишин В. С. Харченко |
| author_facet | Н. И. Федоренко И. М. Антонян Р. В. Стецишин В. С. Харченко |
| author_sort | Н. И. Федоренко |
| collection | DOAJ |
| description | The article offers a multifactorial hierarchy structure of neural network modules, developed to diagnose the urologic diseases by processing versatile heterogeneous parameters. These parameters are obtained by carrying out uroflowmetry in patients, using a uroflometer. Based on the results of the analysis, the key parameters for detecting aberrations, obstructions, and diagnosing diseases have been selected. The key feature of the developed multifactorial hierarchy model is the modularized system for detecting the heterogeneous and versatile uroflowmetric parameters. This system is based on neural network modules of different architecture, and training methods. The ability of the neural network model to detect the uroflowmetric parameters in patients has been tested. |
| first_indexed | 2024-03-12T00:13:25Z |
| format | Article |
| id | doaj.art-c736a44f2d5e4c60b26d612a0c33b689 |
| institution | Directory Open Access Journal |
| issn | 1814-4225 2663-2012 |
| language | English |
| last_indexed | 2024-03-12T00:13:25Z |
| publishDate | 2016-09-01 |
| publisher | National Aerospace University «Kharkiv Aviation Institute» |
| record_format | Article |
| series | Радіоелектронні і комп'ютерні системи |
| spelling | doaj.art-c736a44f2d5e4c60b26d612a0c33b6892023-09-15T18:58:39ZengNational Aerospace University «Kharkiv Aviation Institute»Радіоелектронні і комп'ютерні системи1814-42252663-20122016-09-01014910.32620/reks.2016.1.01910DETECTING THE UROLOGIC DISEASES BY MEANS OF MULTIFACTORIAL HIERARCHIC NEURAL NETWORKSН. И. ФедоренкоИ. М. АнтонянР. В. СтецишинВ. С. ХарченкоThe article offers a multifactorial hierarchy structure of neural network modules, developed to diagnose the urologic diseases by processing versatile heterogeneous parameters. These parameters are obtained by carrying out uroflowmetry in patients, using a uroflometer. Based on the results of the analysis, the key parameters for detecting aberrations, obstructions, and diagnosing diseases have been selected. The key feature of the developed multifactorial hierarchy model is the modularized system for detecting the heterogeneous and versatile uroflowmetric parameters. This system is based on neural network modules of different architecture, and training methods. The ability of the neural network model to detect the uroflowmetric parameters in patients has been tested.http://nti.khai.edu/ojs/index.php/reks/article/view/867багатофакторна ієрархічна структура нейромережевих модулів, нейромережеве розпізнавання урофлоуметричних параметрів, нейронні мережі, ієрархічний зв'язок урофлоуметричних параметрів пацієнтів |
| spellingShingle | Н. И. Федоренко И. М. Антонян Р. В. Стецишин В. С. Харченко DETECTING THE UROLOGIC DISEASES BY MEANS OF MULTIFACTORIAL HIERARCHIC NEURAL NETWORKS Радіоелектронні і комп'ютерні системи багатофакторна ієрархічна структура нейромережевих модулів, нейромережеве розпізнавання урофлоуметричних параметрів, нейронні мережі, ієрархічний зв'язок урофлоуметричних параметрів пацієнтів |
| title | DETECTING THE UROLOGIC DISEASES BY MEANS OF MULTIFACTORIAL HIERARCHIC NEURAL NETWORKS |
| title_full | DETECTING THE UROLOGIC DISEASES BY MEANS OF MULTIFACTORIAL HIERARCHIC NEURAL NETWORKS |
| title_fullStr | DETECTING THE UROLOGIC DISEASES BY MEANS OF MULTIFACTORIAL HIERARCHIC NEURAL NETWORKS |
| title_full_unstemmed | DETECTING THE UROLOGIC DISEASES BY MEANS OF MULTIFACTORIAL HIERARCHIC NEURAL NETWORKS |
| title_short | DETECTING THE UROLOGIC DISEASES BY MEANS OF MULTIFACTORIAL HIERARCHIC NEURAL NETWORKS |
| title_sort | detecting the urologic diseases by means of multifactorial hierarchic neural networks |
| topic | багатофакторна ієрархічна структура нейромережевих модулів, нейромережеве розпізнавання урофлоуметричних параметрів, нейронні мережі, ієрархічний зв'язок урофлоуметричних параметрів пацієнтів |
| url | http://nti.khai.edu/ojs/index.php/reks/article/view/867 |
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