Multidimensional neo-fuzzy-neuron for solving medical diagnostics tasks in online-mode

• Autorzy: Mahmoud S. M. K. , Perova I. , Pliss I.
• Języki publikacji: EN

Abstrakty

EN

In this paper neuro-fuzzy approach for medical data processing is considered. Special capacities for methods and systems of Computational Intelligence were introduced for Medical Data Mining tasks, like transparency and interpretability of obtained results, ability to classify nonconvex and overlapped classes that correspond to various diagnoses, necessity to process data in online mode and so on. Architecture based on the multidimensional neo-fuzzy-neuron was designed for situation of many diagnoses. For multidimensional neo-fuzzy-neuron adaptive learning algorithms that are a modification of Widrow-Hoff algorithm were introduced. This system was approbate on nervous system diseases data set from University of California Irvine (UCI) Repository and show high level of classification results.

Słowa kluczowe

EN

multidimensional neo-fuzzy-neuron; medical data mining; computational intelligence; Parkinson disease; learning algorithm; fuzzyfication

PL

eksploracja danych medycznych; inteligencja obliczeniowa; choroba Parkinsona; algorytm uczenia; fuzyfikacja

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Journal of Applied Computer Science
• Rocznik: 2017
• Tom: Vol. 25, nr 1
• Strony: 39--48
• Opis fizyczny: Bibliogr. 22 poz., 1 rys.

Twórcy

autor

Mahmoud S. M. K.

• Al-Baha University, Faculty of Engineering, Computer Engineering Department, King Abdulaziz Street, Al Baha, 1988, Saudi Arabia, Al Baha City, 799

autor

Perova I.

• Kharkiv National University of Radio Electronics, Biomedical Engineering Department, av. Nauky, 14, Kharkiv, UKRAINE, 61145

autor

Pliss I.

• Kharkiv National University of Radio Electronics, Control Systems Research Laboratory, av. Nauky, 14, Kharkiv, UKRAINE, 61145

Bibliografia

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Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).