Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Milojka Molan Štiglic"'
Publikováno v:
Journal of Medical Systems. 24:43-52
Decision support systems that help physicians are becoming a very important part of medical decision making. They are based on different models and the best of them are providing an explanation together with an accurate, reliable, and quick response.
Publikováno v:
Journal of Medical Systems. 21:403-415
The decision tree approach is one of the most common approaches in automatic learning and decision making. The automatic learning of decision trees and their use usually show very good results in various “ theoretical” environments. But in real l
Publikováno v:
Computer methods and programs in biomedicine. 80
In this paper we study an evolutionary machine learning approach to data mining and knowledge discovery based on the induction of classification rules. A method for automatic rules induction called AREX using evolutionary induction of decision trees
Publikováno v:
CBMS
Scopus-Elsevier
Scopus-Elsevier
We study a new approach to rule induction from medical data sets with the help of physicians' assessment of the progressing solution in order to find new patterns in the available data. A method for the automatic extraction of rules is presented whic
Autor:
Petra Povalej, Maja Skerbinjek Kavalar, Mitja Lenic, Peter Kokol, Milojka Molan Štiglic, Jernej Završnik
Publikováno v:
Artificial Intelligence in Medicine ISBN: 9783540201298
AIME
Scopus-Elsevier
AIME
Scopus-Elsevier
We present a journey through successful applications of multimethod approach to induction of decision trees in knowledge extraction, discovery of new knowledge and early diagnosis on the cases of asthma, cardiovascular problems and mitral valve prola
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b123885168ef72b83b7311c07c026e8
https://doi.org/10.1007/978-3-540-39907-0_35
https://doi.org/10.1007/978-3-540-39907-0_35