Публікація:
Adaptive human machine interaction approach for feature selection-extraction task in medical data mining

dc.contributor.authorPerova, I.
dc.contributor.authorBodyanskiy, Ye. V.
dc.date.accessioned2018-09-17T08:18:38Z
dc.date.available2018-09-17T08:18:38Z
dc.date.issued2018
dc.description.abstractFeature Selection task is one of the most complicated and actual in the areas of Data Mining and Human Machine Interaction. Many approaches to its solving are based on non-mathematical and presentative hypothesis. New approach to evaluation of medical features information quantity, based on optimized combination of feature selection and feature extraction methods is proposed. This approach allows us to produce optimal reduced number of features with linguistic interpreting of each of them. Hybrid system of feature selection/extraction based on Neural Network-Physician interaction is investigated. This system is numerically simple, can produce feature selection/extraction with any number of factors in online mode using neural network-physician interaction based on Oja’s neurons for online principal component analysis and calculating distance between first principal component and all input features. A series of experiments confirms efficiency of proposed approaches in Medical Data Mining area and allows physicians to have the most informative features without losing their linguistic interpreting.uk_UA
dc.identifier.citationPerova I. Adaptive human machine interaction approach for feature selection-extraction task in medical data mining / I. Perova, Ye. Bodyanskiy // International Journal of Computing. - 2018.-17 (2). - P. 113-119.uk_UA
dc.identifier.urihttp://openarchive.nure.ua/handle/document/6908
dc.language.isoenuk_UA
dc.publisherInternational Journal of Computinguk_UA
dc.subjectHuman Machine Interactionuk_UA
dc.subjectfeature selectionuk_UA
dc.subjectfeature extractionuk_UA
dc.subjectMedical Data Mininguk_UA
dc.subjectOja’s neuronuk_UA
dc.subjectNeural Network Approachuk_UA
dc.titleAdaptive human machine interaction approach for feature selection-extraction task in medical data mininguk_UA
dc.typeArticleuk_UA
dspace.entity.typePublication

Файли

Оригінальний пакет
Зараз показано 1 - 1 з 1
Завантаження...
Зображення мініатюри
Назва:
23. 997-1154-1-PB (1).pdf
Розмір:
671.73 KB
Формат:
Adobe Portable Document Format
Опис:
основная статья
Ліцензійний пакет
Зараз показано 1 - 1 з 1
Немає доступних мініатюр
Назва:
license.txt
Розмір:
9.42 KB
Формат:
Item-specific license agreed upon to submission
Опис: