Predictive Medical Data Mining: Case Study

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F03%3A03087917" target="_blank" >RIV/68407700:21220/03:03087917 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Predictive Medical Data Mining: Case Study

Original language 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 aset 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.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2003

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Intelligent and Adaptive Systems in Medicine

ISBN

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ISSN

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e-ISSN

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Number of pages

13

Pages from-to

48-60

Publisher name

CVUT FEL Praha

Place of publication

Praha

Event location

Praha

Event date

Mar 31, 2003

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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