Data Mining and Medical Knowledge Management: Cases and Applications
1.
SYSNO ASEP
0323140
Druh ASEP
M - Kapitola v monografii
Zařazení RIV
C - Kapitola v knize
Název
Data Mining in Atherosclerosis Risk Factor Data. Chapter XVIII
Překlad názvu
Dobývání znalostí z dat o rizikových faktorech atherosklerózy (kapitola 18)
Tvůrce(i)
Berka, Petr (UIVT-O) Rauch, Jan (UIVT-O) Tomečková, Marie (UIVT-O)
Zdroj.dok.
Data Mining and Medical Knowledge Management: Cases and Applications. - Hershey : Information Science Reference, 2009 / Berka P. ; Rauch J. ; Zighed D.A.
- ISBN 978-1-60566-218-3
Rozsah stran
s. 376-397
Poč.str.
22 s.
Poč.výt.
300
Poč.str.knihy
464
Jazyk dok.
eng - angličtina
Země vyd.
US - Spojené státy americké
Klíč. slova
atherosclerosis ; association rules ; decision rules
Vědní obor RIV
IN - Informatika
CEP
1M06014 GA MŠMT - Ministerstvo školství, mládeže a tělovýchovy
CEZ
AV0Z10300504 - UIVT-O (2005-2011)
Anotace
The goal of this chapter is to describe goals, current results and further plans of long time activity concerning application of data mining and machine learning methods to the complex medical data set. The analyzed data set concerns longitudinal study of atherosclerosis risk factors. The structure and main features of this data set as well as methodology of observation of risk factors are introduced. The important first steps of analysis of atherosclerosis data are described in details together with a large set of analytical questions defined on the basis of first results. Experience in solving these tasks is summarized and further directions of analysis are outlined.
