Combining unsupervised and supervised machine learning in analysis of the CHD patient database (CROSBI ID 482412)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Šmuc, Tomislav ; Gamberger, Dragan ; Krstačić, Goran
engleski
Combining unsupervised and supervised machine learning in analysis of the CHD patient database
The aim of this work is twofold: to illustrate power of unsupervised data analysis approach on routinely collected diagnostic data for CHD patients and to validate findings against cardiologist's own patient classification and expert analysis. In this respect emphasis in this work is not on prediction and accuracy but rather on discovering paths to extraction of new insights and/or knowledge of the domain. The work demonstrates the use of unsupervised classification for the partitioning of the database with the aim of amplifying predictability of models describing expert classification, as well as boosting cause-and-effect relationships hidden in data.
unsupervised classification; coronary heart disease
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
nije evidentirano
Podaci o prilogu
109-112-x.
2001.
objavljeno
Podaci o matičnoj publikaciji
8th Conference on Artificial Intelligence in Medicine in Europe
Quaglini, Silvana; Barahona, Pedro; Andreassen, Steen
Berlin: Springer
Podaci o skupu
8th Conference on Artificial Intelligence in Medicine in Europe
poster
01.07.2001-04.07.2001
Cascais, Portugal