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Pregled bibliografske jedinice broj: 74618

Combining unsupervised and supervised machine learning in analysis of the CHD patient database


Šmuc, Tomislav; Gamberger, Dragan; Krstačić, Goran
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)


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, 01-04. 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



POVEZANOST RADA


Projekt / tema
00980501

Ustanove
Institut "Ruđer Bošković", Zagreb