Evaluation of the Phadiatop test results using CHAID algorithm and logistic regression

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F15%3A86095557" target="_blank" >RIV/61989100:27510/15:86095557 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7222969&newsearch=true&queryText=Kuranova" target="_blank" >http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7222969&newsearch=true&queryText=Kuranova</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/DT.2015.7222969" target="_blank" >10.1109/DT.2015.7222969</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Evaluation of the Phadiatop test results using CHAID algorithm and logistic regression

Popis výsledku v původním jazyce

This paper presents the use of logistic regression and decision tree (CHAID algorithm) for classification of patients into one of the two groups of Phadiatop test. Our data come from patients who underwent Phadiatop test examinations in the University Hospital of Ostrava, the Department of Work and preventive medicine. As predictive variables for discriminant analysis, personal and family anamnesis, sex and age of the patient were selected and appropriately rated. These data were obtained on the spot assessment of the manifestations of atopy. Both of these anamneses were divided into four categories according to severity ranked by doctors (asthma, allergic rhinitis, eczema, and others). Evaluation was based on the test results. One of two possible values is involved there: 0 for Phadiatop test result 0 and I, or 1 for values II to VI. Both methods provide very similar results with the success rate 64% for correct classification of patients. Model was tested using a database of 274 clie

Název v anglickém jazyce

Evaluation of the Phadiatop test results using CHAID algorithm and logistic regression

Popis výsledku anglicky

This paper presents the use of logistic regression and decision tree (CHAID algorithm) for classification of patients into one of the two groups of Phadiatop test. Our data come from patients who underwent Phadiatop test examinations in the University Hospital of Ostrava, the Department of Work and preventive medicine. As predictive variables for discriminant analysis, personal and family anamnesis, sex and age of the patient were selected and appropriately rated. These data were obtained on the spot assessment of the manifestations of atopy. Both of these anamneses were divided into four categories according to severity ranked by doctors (asthma, allergic rhinitis, eczema, and others). Evaluation was based on the test results. One of two possible values is involved there: 0 for Phadiatop test result 0 and I, or 1 for values II to VI. Both methods provide very similar results with the success rate 64% for correct classification of patients. Model was tested using a database of 274 clie

Druh

D - Stať ve sborníku

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

<a href="/cs/project/EE2.3.20.0296" target="_blank" >EE2.3.20.0296: Výzkumný tým pro modelování ekonomických a finančních procesů na VŠB-TU Ostrava</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název statě ve sborníku

International Conference on Information and Digital Technologies, IDT 2015

ISBN

978-1-4673-7185-8

ISSN

—

e-ISSN

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Počet stran výsledku

5

Strana od-do

178-182

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

New York

Místo konání akce

Žilina

Datum konání akce

7. 7. 2015

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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