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  • This paper presents the use of logistic regression for predicting the classification of patients into one of two groups of the Phadiatop test. Our data come from patients who underwent examinations Phadiatop test in the University Hospital of Ostrava, the Clinic of Occupational and Preventive Medicine. Personal and family anamneses of the patient were selected and appropriately rated as predictive variables for discriminant analysis. These data were obtained by an evaluation of the atopy score. Moreover, both of these anamneses were divided into four categories according to doctor's ranked severity. The aim of the analysis is to predict results of the cost-expensive Phadiatop test, which is the categorical dependent variable of the model. The model was tested using a medical database of 1027 clients. The developed model predicts results of the Phadiatop test with 75% probability, which may represent significant financial savings for the diagnosis of atopy.
  • This paper presents the use of logistic regression for predicting the classification of patients into one of two groups of the Phadiatop test. Our data come from patients who underwent examinations Phadiatop test in the University Hospital of Ostrava, the Clinic of Occupational and Preventive Medicine. Personal and family anamneses of the patient were selected and appropriately rated as predictive variables for discriminant analysis. These data were obtained by an evaluation of the atopy score. Moreover, both of these anamneses were divided into four categories according to doctor's ranked severity. The aim of the analysis is to predict results of the cost-expensive Phadiatop test, which is the categorical dependent variable of the model. The model was tested using a medical database of 1027 clients. The developed model predicts results of the Phadiatop test with 75% probability, which may represent significant financial savings for the diagnosis of atopy. (en)
Title
  • LOGISTIC REGRESSION AS A TOOL FOR ATOPY INVESTIGATION
  • LOGISTIC REGRESSION AS A TOOL FOR ATOPY INVESTIGATION (en)
skos:prefLabel
  • LOGISTIC REGRESSION AS A TOOL FOR ATOPY INVESTIGATION
  • LOGISTIC REGRESSION AS A TOOL FOR ATOPY INVESTIGATION (en)
skos:notation
  • RIV/61989100:27240/10:86075893!RIV11-MSM-27240___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(1M06047)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 268803
http://linked.open...ai/riv/idVysledku
  • RIV/61989100:27240/10:86075893
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Logistic regression, medical data, atopy, Phadiatop test (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [85D4722D8FE7]
http://linked.open...v/mistoKonaniAkce
  • Brno
http://linked.open...i/riv/mistoVydani
  • Brno
http://linked.open...i/riv/nazevZdroje
  • MENDEL 2010, 16th International Conference on Soft Computing
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Praks, Pavel
  • Hajduková, Zdeňka
  • Kuráňová, Pavlína
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000288144100028
http://linked.open.../riv/zahajeniAkce
issn
  • 1803-3814
number of pages
http://purl.org/ne...btex#hasPublisher
  • University of Technology
https://schema.org/isbn
  • 978-80-214-4120-0
http://localhost/t...ganizacniJednotka
  • 27240
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