A Novel Diagnostic Approach Based on Support Vector Machine with Linear Kernel for classifying the erythemato-squamous disease
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86099386" target="_blank" >RIV/61989100:27240/15:86099386 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICCUBEA.2015.72D" target="_blank" >http://dx.doi.org/10.1109/ICCUBEA.2015.72D</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICCUBEA.2015.72D" target="_blank" >10.1109/ICCUBEA.2015.72D</a>
Alternative languages
Result language
angličtina
Original language name
A Novel Diagnostic Approach Based on Support Vector Machine with Linear Kernel for classifying the erythemato-squamous disease
Original language description
The diagnosis of the arythema disease is a real difficulty in dermatology. It causes redness induced in the lower level of the skin by hyperemia of the capillaries. It can harm several skin damages, inflammations. In this paper, we have put our efforts to design a diagnostic approach based on Support Vector Machine (SVM) with linear kernel by classifying the erythemato-squamous disease. SVM being a large margin classifier is a powerful pattern recognition and machine learning methodology that is widely used for both linear and non-linear classification problems. Comparing testing on different kernel methods, we have noticed that our method gives the better accuracy. Choosing the optimal value of the parameters is a crucial criterion and this was achieved by performing 3 fold cross-validations. (C) 2015 IEEE.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings - 1st International Conference on Computing, Communication, Control and Automation, ICCUBEA 2015
ISBN
978-1-4799-6892-3
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
343-347
Publisher name
Institute of Electrical and Electronics Engineers
Place of publication
New York
Event location
Pune
Event date
Feb 26, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000380620000067