Evaluation of Various Classifiers Performance on Biomedical Datasets

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F15%3A00234624" target="_blank" >RIV/68407700:21730/15:00234624 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/EHB.2015.7391459" target="_blank" >http://dx.doi.org/10.1109/EHB.2015.7391459</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EHB.2015.7391459" target="_blank" >10.1109/EHB.2015.7391459</a>

Result language
angličtina
Original language name
Evaluation of Various Classifiers Performance on Biomedical Datasets
Original language description
Often, an evaluation of a classifier is performed without deeper analysis. In this paper we decided to perform more rigorous evaluation. We present an evaluation of various classifier methods over biomedical data with orientation towards nature inspired methods. We have performed an experimental assessment of various traditional and nature inspired methods (41 distinct classifiers) over the total of 32 different biomedical datasets. We used 10-fold crossvalidation and for each experiment retrieved multiple objective parameters. The mean and best/worst-so-far values of the measures (accuracy, sensitivity, specificity, ...) have been statistically evaluated using the nonparametric Friedman test and post-hoc analyses. The ant-inspired ACO_DTree algorithm performed significantly better (alpha=0.05) in 29 experimental cases for the mean f-measure parameter and in 14 experimental cases for the best-so-far f-measure parameter. The top results have been obtained for certain subsets of the UCI database and for the dataset combining cardiotocography records and myocardial infarction records.
Czech name
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Czech description
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Project
<a href="/en/project/NV15-31398A" target="_blank" >NV15-31398A: Features of Electromechanical Dyssynchrony that Predict Effect of Cardiac Resynchronization Therapy</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
The 5th IEEE International Conference on E-Health and Bioengineering
ISBN
978-1-4673-7545-0
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
1-4
Publisher name
Gr. T. Popa University of Medicine and Pharmacy
Place of publication
Iasi
Event location
Iasi
Event date
Nov 19, 2015
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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