Using methods of decision tree for identification of target population groups for health intervention

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F64628299%3A_____%2F03%3A00007473" target="_blank" >RIV/64628299:_____/03:00007473 - 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

Using methods of decision tree for identification of target population groups for health intervention

Original language description

For identification of population target groups for health intervention the data about health status, risk behaviour and passivity way of life was used, which are determined by socio-economic differences. The questionnaire data was analysed using the method of decision tree. The mathematical algorithm is based on merge of values that are judged to be statistically homogeneous with respect to the target variable and maintains all other values. The results identified the specific groups for health intervention. The advantages of this method are: comprehensive and flexible approach, easy understanding of results, possibility of heterogeneous types of variable processing and combination of this method with traditional models. But there exist also some limitations: the decision trees do neither give the general rules, nor the statistical test of general significance of the model.

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

FQ - Public health system, social medicine

OECD FORD branch

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Project

<a href="/en/project/NJ6139" target="_blank" >NJ6139: Subjective approach of inhabitants of Ostrava to their health in association with their life-style, socio-economic status and education</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2003

Confidentiality

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

Name of the periodical

Epidemiology

ISSN

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e-ISSN

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Volume of the periodical

14

Issue of the periodical within the volume

5

Country of publishing house

US - UNITED STATES

Number of pages

1

Pages from-to

"S37"

UT code for WoS article

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EID of the result in the Scopus database

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