Modelling the Results of the Phadiatop Test Using the Logistic and Ordinal Regression

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86097148" target="_blank" >RIV/61989100:27240/15:86097148 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.1007/978-3-319-19147-8_6" target="_blank" >http://dx.doi.org/10.1007/978-3-319-19147-8_6</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-19147-8_6" target="_blank" >10.1007/978-3-319-19147-8_6</a>

Result language

angličtina

Original language name

Modelling the Results of the Phadiatop Test Using the Logistic and Ordinal Regression

Original language description

This study was based on examination Phadiatop onerous test at the Clinic of Occupational and Preventive Medicine in order to save money and not make unnecessary testing. The aim of this study was to assess the outcome of the test Phadiatop only under close personal or family history of each patient. This estimation was used statistical methods specifically logistic and ordinal regression. The most important findings are that Phadiatop test result does not imply eczema; it is a different immune responseand the disease is not relevant in personal or family anamnesis. The patient was based on a family and personal anamnesis, in assigning only two groups (healthy or sick) correctly classified with a probability of 75 %. The test sensitivity is about 77 %and the diseases influencing the results are asthma and allergic rhinitis. The success rate of classifying each patient into one of the five Phadiatop test groups according to the seriousness of diseases was about 68 %. Also a testing bas

Czech name

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Czech description

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Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2015

Confidentiality

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

Name of the periodical

Studies in Computational Intelligence. Volume 606

ISSN

1860-949X

e-ISSN

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Volume of the periodical

606

Issue of the periodical within the volume

1

Country of publishing house

DE - GERMANY

Number of pages

16

Pages from-to

103-118

UT code for WoS article

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EID of the result in the Scopus database

2-s2.0-84934277602