Nature Inspired Clustering in the Electrocardiogram Interpretation Process in Cardiology

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00166166" target="_blank" >RIV/68407700:21230/10:00166166 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Nature Inspired Clustering in the Electrocardiogram Interpretation Process in Cardiology
Original language description
The paper focuses on the field of artificial intelligence techniques and their use in biomedical data processing. It concentrates on the clustering techniques inspired by various ant colonies and other nature concepts. This paper evaluates the use of thefollowing nature inspired methods: Ant Colony inspired Clustering, Ant Colony inspired method for Decision Tree generation, Radial Basis Function Neural Networks with different learning algorithms and compare them to classical approaches, such as k-means and hierarchical clustering. The methods have been evaluated using the annotated MIT-BIH database. Acceptable results (complexity vs. error) have been obtained by the Ant-Colony inspired method for Decision tree generation (Se=93.1, Sp=72.8).
Czech name
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Czech description
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Project
<a href="/en/project/1ET201210527" target="_blank" >1ET201210527: Knowledge-based support of diagnostics and prediction in cardiology</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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