Baza Publikacji Pracowników Politechniki Lubelskiej

Status:
Autorzy:	Omiotek Zbigniew, Burda Andrzej, Wójcik Waldemar
Rok wydania:	2013
Wersja dokumentu:	Drukowana \| Elektroniczna
Język:	angielski
Numer czasopisma:	16
Wolumen/Tom:	40
Strony:	6684 - 6689
Impact Factor:	1,965
Web of Science® Times Cited:	19
Scopus® Cytowania:	21
Bazy:	Web of Science \| Scopus \| Web of Science \| Scopus \| Science Citation Index
Efekt badań statutowych	NIE
Materiał konferencyjny:	NIE
Publikacja OA:	NIE
Abstrakty:	angielski
	Methods for classification of ultrasound thyroid images have been presented. These methods allow us to classify examined patients as either sick or healthy. Decision tree induction and a multilayer perceptron neural network have been used to build classification models. Test results showed that the proposed methods can provide a starting point for building a support system in the process of medical diagnosis. Better accuracy of classifiers was achieved for the normalized images. We have also found that, under adopted assumptions, the results obtained for them were statistically significant in contrast to original images. The proposed methods allow us to separate a fairly large group of incorrectly classified cases. According to the authors, this group may contain features of the early stage of Hashimoto’s disease.

The use of decision tree induction and artificial neural networks for automatic diagnosis of Hashimoto`s disease