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  • The Phadiatop test was developed for screening of allergic sensitization. As the Phadiatop test is not cheap, the aim of our research is to approximately predict results of the phadiatop test by a probalistic model, which evaluates data from a personal questionnaire obtained from approximately 1 000 patients with suspected allergic diseases. Our database is based on patients who underwent examinations of the Phadiatop test at the Clinic of Occupation and Preventive Medicine, University Hospital of Ostrava, Ostrava, Czech Republic. The probabilistic prediction model has been verified on a consistent database of approximately 400 patients. Then, the second sensitivity analysis study has been performed and the prediction model has been finally simplified. As a result of the model simplification process, the final prediction model depends only on two independent variables (asthma and allergic rhinitis). The developed model is able to predict the approximate results of the Phadiatop test with 70% probability, which may represent a significant financial saving for the public health sector.
  • The Phadiatop test was developed for screening of allergic sensitization. As the Phadiatop test is not cheap, the aim of our research is to approximately predict results of the phadiatop test by a probalistic model, which evaluates data from a personal questionnaire obtained from approximately 1 000 patients with suspected allergic diseases. Our database is based on patients who underwent examinations of the Phadiatop test at the Clinic of Occupation and Preventive Medicine, University Hospital of Ostrava, Ostrava, Czech Republic. The probabilistic prediction model has been verified on a consistent database of approximately 400 patients. Then, the second sensitivity analysis study has been performed and the prediction model has been finally simplified. As a result of the model simplification process, the final prediction model depends only on two independent variables (asthma and allergic rhinitis). The developed model is able to predict the approximate results of the Phadiatop test with 70% probability, which may represent a significant financial saving for the public health sector. (en)
Title
  • Improving the Probabilistic Prediction Model of the Phadiatop Test by Data Pre-processing.
  • Improving the Probabilistic Prediction Model of the Phadiatop Test by Data Pre-processing. (en)
skos:prefLabel
  • Improving the Probabilistic Prediction Model of the Phadiatop Test by Data Pre-processing.
  • Improving the Probabilistic Prediction Model of the Phadiatop Test by Data Pre-processing. (en)
skos:notation
  • RIV/61989100:27240/12:86084840!RIV13-MSM-27240___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 140964
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  • RIV/61989100:27240/12:86084840
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  • Logistic regression, medical data, atopy, Phadiatop test. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [3D4D3EA9B08B]
http://linked.open...v/mistoKonaniAkce
  • Brno
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  • Brno
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  • Mendel 2012 : 18th International Conference on Soft Computing : June 27-29, Brno, Czech Republic
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Praks, Pavel
  • Hajduková, Zdeňka
  • Kuráňová, Pavlína
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
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  • Vysoké učení technické v Brně
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  • 978-80-214-4540-6
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  • 27240
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