2015 XTH International Scientific and Technical Conference "Computer Sciences and Information Technologies" (CSIT) 2015
DOI: 10.1109/stc-csit.2015.7325443
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Fuzzy spacial extrapolation method using Manhattan metrics for tasks of Medical Data mining

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Cited by 8 publications
(3 citation statements)
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“…We have choose Dermatology dataset [30] from UCI Machine Repository. It contains 366 instances, but some of attributes has missed values, so they need to be filled using, for example, fuzzy spatial extrapolation approach from [31]. Number of attributes is 34, 35-th attribute is classdiagnosis.…”
Section: Methodsmentioning
confidence: 99%
“…We have choose Dermatology dataset [30] from UCI Machine Repository. It contains 366 instances, but some of attributes has missed values, so they need to be filled using, for example, fuzzy spatial extrapolation approach from [31]. Number of attributes is 34, 35-th attribute is classdiagnosis.…”
Section: Methodsmentioning
confidence: 99%
“…Fuzzy logic-based artificial neural network technology is actively employed to analyze a variety of medical data. Thus, a system of quick medical diagnosis based on autoassociative neuro-fuzzy memory was developed in the works [14]- [17]. To increase the accuracy of the classification problem's results, however, is still of uttermost priority.…”
Section: Related Workmentioning
confidence: 99%
“…At the first step of the proposed approach all measured features of a patient are fed to processing sequentially. If any of the features contains gaps, they will have to be filled by any procedure, described, for example, in [17].…”
Section: Hybrid System For Feature Selection-extraction Based On Neurmentioning
confidence: 99%