Pregled bibliografske jedinice broj: 56812
Free Text as a Source of Knowledge Enabling Distinction of Groups
Free Text as a Source of Knowledge Enabling Distinction of Groups // Telematics In Health Care, Medical Infobahn for Europe, MIE2000/GMDS2000, Proceedings-Workshops-Posters (CD ROM)
Berlin: Quintessenz Verlag, 2000. (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 56812 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Free Text as a Source of Knowledge Enabling Distinction of Groups
Autori
Kern, Josipa ; Hercigonja-Szekeres, Mira ; Fišter, Kristina ; Hećimović, Hrvoje ; Pećnik, Marijana ; Vuletić, Silvije
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Telematics In Health Care, Medical Infobahn for Europe, MIE2000/GMDS2000, Proceedings-Workshops-Posters (CD ROM)
/ - Berlin : Quintessenz Verlag, 2000
Skup
MIE2000/GMDS2000
Mjesto i datum
Hannover, Njemačka, 27.08.2000. - 01.09.2000
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
free-text analysis; knowledge discovery
Sažetak
Free-text data are considered a source of knowledge telling the difference among several groups of entities. An algorithm starts with defining a pre-set model for obtaining free text data. The next steps are textual data analysis, selection of attribute candidates for distinguishing groups, statistical analysis, and application of a tool for classification model production. The algorithm was illustrated by a neurological example.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne medicinske znanosti
POVEZANOST RADA
Projekti:
108107
Ustanove:
Medicinski fakultet, Zagreb
Profili:
Hrvoje Hećimović
(autor)
Josipa Kern
(autor)
Mira Hercigonja Szekeres
(autor)
Kristina Fišter
(autor)
Silvije Vuletić
(autor)