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Description
| - 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)
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Title
| - LOGISTIC REGRESSION AS A TOOL FOR ATOPY INVESTIGATION
- LOGISTIC REGRESSION AS A TOOL FOR ATOPY INVESTIGATION (en)
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skos:prefLabel
| - LOGISTIC REGRESSION AS A TOOL FOR ATOPY INVESTIGATION
- LOGISTIC REGRESSION AS A TOOL FOR ATOPY INVESTIGATION (en)
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skos:notation
| - RIV/61989100:27240/10:86075893!RIV11-MSM-27240___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/61989100:27240/10:86075893
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Logistic regression, medical data, atopy, Phadiatop test (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - MENDEL 2010, 16th International Conference on Soft Computing
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...vavai/riv/projekt
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Praks, Pavel
- Hajduková, Zdeňka
- Kuráňová, Pavlína
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http://linked.open...vavai/riv/typAkce
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http://linked.open...ain/vavai/riv/wos
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http://linked.open.../riv/zahajeniAkce
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issn
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number of pages
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http://purl.org/ne...btex#hasPublisher
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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