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  • 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.
  • 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. (en)
Title
  • Using methods of decision tree for identification of target population groups for health intervention
  • Using methods of decision tree for identification of target population groups for health intervention (en)
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  • Using methods of decision tree for identification of target population groups for health intervention
  • Using methods of decision tree for identification of target population groups for health intervention (en)
skos:notation
  • RIV/64628299:_____/03:00007473!RIV/2004/MZ0/L21004/N
http://linked.open.../vavai/riv/strany
  • S37
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(NJ6139)
http://linked.open...iv/cisloPeriodika
  • 5
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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  • 632383
http://linked.open...ai/riv/idVysledku
  • RIV/64628299:_____/03:00007473
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • questionnaire data;health intervention;target groups;decision tree (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • US - Spojené státy americké
http://linked.open...ontrolniKodProRIV
  • [20FA6D254D36]
http://linked.open...i/riv/nazevZdroje
  • Epidemiology
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http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...ocetUcastnikuAkce
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 14
http://linked.open...iv/tvurceVysledku
  • Tomášková, Hana
  • Šplíchalová, Anna
  • Šlachtová, Hana
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