The use of decision tree induction and artificial neural networks for automatic diagnosis of Hashimoto`s disease
Artykuł w czasopiśmie
MNiSW
35
Lista A
| 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. |
