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Statements

Subject Item
n2:RIV%2F68407700%3A21220%2F03%3A03087917%21RIV%2F2004%2FMSM%2F212204%2FN
rdf:type
skos:Concept n16:Vysledek
dcterms:description
This paper presents a case study concerning scheduling and resource allocation issues at a spa. The paper is data-mining oriented. It discusses and describes how the history data can be used as a source for data-mining leading to discovery of rules or algorithms useful for prediction of resources requirements. In particular, we focused to identify groups of patients which appear frequently in the training set and which exhibit characteristic behavior or requirements of spa utilities. Then we predicted a set of health procedures to be passed for each member of such group. This approach resulted in a health procedure prediction algorithm satisfactory for early and convenient scheduling. This paper presents a case study concerning scheduling and resource allocation issues at a spa. The paper is data-mining oriented. It discusses and describes how the history data can be used as a source for data-mining leading to discovery of rules or algorithms useful for prediction of resources requirements. In particular, we focused to identify groups of patients which appear frequently in the training set and which exhibit characteristic behavior or requirements of spa utilities. Then we predicted a set of health procedures to be passed for each member of such group. This approach resulted in a health procedure prediction algorithm satisfactory for early and convenient scheduling.
dcterms:title
Predictive Medical Data Mining: Case Study Predictive Medical Data Mining: Case Study
skos:prefLabel
Predictive Medical Data Mining: Case Study Predictive Medical Data Mining: Case Study
skos:notation
RIV/68407700:21220/03:03087917!RIV/2004/MSM/212204/N
n3:strany
48 ; 60
n3:aktivita
n15:Z
n3:aktivity
Z(MSM 210000012)
n3:dodaniDat
n13:2004
n3:domaciTvurceVysledku
n4:5112605 n4:5879523 n4:9942904
n3:druhVysledku
n11:D
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n6:predkladatel
n3:idSjednocenehoVysledku
622512
n3:idVysledku
RIV/68407700:21220/03:03087917
n3:jazykVysledku
n10:eng
n3:klicovaSlova
data mining
n3:klicoveSlovo
n14:data%20mining
n3:kontrolniKodProRIV
[8475F097989A]
n3:mistoKonaniAkce
Praha
n3:mistoVydani
Praha
n3:nazevZdroje
Intelligent and Adaptive Systems in Medicine
n3:obor
n20:JC
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n13:2003
n3:tvurceVysledku
Nováková, Lenka Klema, Jiří Štěpánková, Olga
n3:typAkce
n12:EUR
n3:zahajeniAkce
2003-03-31+02:00
n3:zamer
n5:MSM%20210000012
s:numberOfPages
13
n18:hasPublisher
České vysoké učení technické v Praze. Fakulta elektrotechnická
n7:organizacniJednotka
21220