<The >Use of logistic and ordinal regression for the prediction of the Phadiatop Test results

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00843989%3A_____%2F13%3AE0103747" target="_blank" >RIV/00843989:_____/13:E0103747 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/13:86087932
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
<The >Use of logistic and ordinal regression for the prediction of the Phadiatop Test results
Original language description
This paper presents the use of logistic and ordinal regressions for predicting the classification of patients into the Phadiatop test groups. Our data come from patients who underwent Phadiatop test examinations in the University Hospital of Ostrava, theClinic of Occupation and Preventive Medicine. Two databases were available for the research giving the records about family and personal anamnesis of each patient. These anamnesis 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 anamnesis were divided into four categories according to the severity ranked by the doctors (asthma, allergic rhinitis, eczema and others). Logistic regression with independent variables was used for the personal anamnesis in the older database. The model was tested using a medical database of 1027 clients in the first case and 1132 clients in the second case. In the newer database, comp
Czech name
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Czech description
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Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
9th International Conference on Digital Technologies
ISBN
978-1-4799-0924-7
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
"P. 111-115"
Publisher name
IEEE
Place of publication
New York
Event location
Žilina, Slovakia
Event date
May 29, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000326472900022

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