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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. The paper evaluates the use of the following 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. Use of the Dynamic Time Warping measure improved Sensitivity about 0.7 \% and Specificity about 0.9 \% when compared to classical feature extraction. The best-performing method is the agglomerative hierarchical clustering (Se=94.3, Sp=74.1), however it is practically unusable as it is memory and computational demanding.
- 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. The paper evaluates the use of the following 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. Use of the Dynamic Time Warping measure improved Sensitivity about 0.7 \% and Specificity about 0.9 \% when compared to classical feature extraction. The best-performing method is the agglomerative hierarchical clustering (Se=94.3, Sp=74.1), however it is practically unusable as it is memory and computational demanding. (en)
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Title
| - Nature Inspired Clustering Methods in The Electrocardiogram Interpretation Process in Cardiology
- Nature Inspired Clustering Methods in The Electrocardiogram Interpretation Process in Cardiology (en)
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skos:prefLabel
| - Nature Inspired Clustering Methods in The Electrocardiogram Interpretation Process in Cardiology
- Nature Inspired Clustering Methods in The Electrocardiogram Interpretation Process in Cardiology (en)
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skos:notation
| - RIV/68407700:21230/10:00170436!RIV11-MSM-21230___
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http://linked.open...avai/riv/aktivita
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http://linked.open...avai/riv/aktivity
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http://linked.open...vai/riv/dodaniDat
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http://linked.open...aciTvurceVysledku
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http://linked.open.../riv/druhVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...titaPredkladatele
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http://linked.open...dnocenehoVysledku
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http://linked.open...ai/riv/idVysledku
| - RIV/68407700:21230/10:00170436
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http://linked.open...riv/jazykVysledku
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http://linked.open.../riv/klicovaSlova
| - Ant Colony Optimizaiton; Ant Algorithms; ECG Interpretation; Decision Trees; Artificial Intelligence (en)
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http://linked.open.../riv/klicoveSlovo
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http://linked.open...ontrolniKodProRIV
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http://linked.open...v/mistoKonaniAkce
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http://linked.open...i/riv/mistoVydani
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http://linked.open...i/riv/nazevZdroje
| - Analysis of Biomedical Signals and Images, BIOSIGNAL 2010, Proceedings
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http://linked.open...in/vavai/riv/obor
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http://linked.open...ichTvurcuVysledku
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http://linked.open...cetTvurcuVysledku
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http://linked.open...UplatneniVysledku
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http://linked.open...iv/tvurceVysledku
| - Burša, Miroslav
- Lhotská, Lenka
- Trávníček, Zdeněk
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http://linked.open...vavai/riv/typAkce
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http://linked.open.../riv/zahajeniAkce
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http://linked.open...n/vavai/riv/zamer
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issn
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number of pages
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http://purl.org/ne...btex#hasPublisher
| - Vysoké učení technické v Brně
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https://schema.org/isbn
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http://localhost/t...ganizacniJednotka
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