Pregled bibliografske jedinice broj: 74618
Combining unsupervised and supervised machine learning in analysis of the CHD patient database
Combining unsupervised and supervised machine learning in analysis of the CHD patient database // 8th Conference on Artificial Intelligence in Medicine in Europe / Quaglini, Silvana; Barahona, Pedro; Andreassen, Steen (ur.).
Berlin: Springer, 2001. str. 109-112 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 74618 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Combining unsupervised and supervised machine learning in analysis of the CHD patient database
Autori
Šmuc, Tomislav ; Gamberger, Dragan ; Krstačić, Goran
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
8th Conference on Artificial Intelligence in Medicine in Europe
/ Quaglini, Silvana; Barahona, Pedro; Andreassen, Steen - Berlin : Springer, 2001, 109-112
Skup
8th Conference on Artificial Intelligence in Medicine in Europe
Mjesto i datum
Cascais, Portugal, 01.07.2001. - 04.07.2001
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
unsupervised classification; coronary heart disease
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
