LOGISTIC REGRESSION AS A TOOL FOR ATOPY INVESTIGATION

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

LOGISTIC REGRESSION AS A TOOL FOR ATOPY INVESTIGATION

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

LOGISTIC REGRESSION AS A TOOL FOR ATOPY INVESTIGATION

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

<a href="/cs/project/1M06047" target="_blank" >1M06047: Centrum pro jakost a spolehlivost výroby</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

MENDEL 2010, 16th International Conference on Soft Computing

ISBN

978-80-214-4120-0

ISSN

1803-3814

e-ISSN

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Počet stran výsledku

4

Strana od-do

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Název nakladatele

University of Technology

Místo vydání

Brno

Místo konání akce

Brno

Datum konání akce

23. 6. 2010

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000288144100028