LOGISTIC REGRESSION AS A TOOL FOR ATOPY INVESTIGATION

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F10%3A86075893" target="_blank" >RIV/61989100:27240/10:86075893 - 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
LOGISTIC REGRESSION AS A TOOL FOR ATOPY INVESTIGATION
Original language 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 wastested 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.
Czech name
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Czech description
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Project
<a href="/en/project/1M06047" target="_blank" >1M06047: Research Center for Quality and Reliability of Production</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
MENDEL 2010, 16th International Conference on Soft Computing
ISBN
978-80-214-4120-0
ISSN
1803-3814
e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
University of Technology
Place of publication
Brno
Event location
Brno
Event date
Jun 23, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000288144100028

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