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  • In the present time, biomedical data processing is an important step in the process of diagnostics, prevention and healthcare in the physicians work. The goal of this work is to help the physicians to cope with long-term biomedical data. In present time, many optimization, classification and data processing methods are inspired by nature. This paper reviews most recent advances on the field of ant colony inspired clustering. With constantly growing datasets needed to be processed, there is a significant need to study and implement robust and effective methods for processing such datasets. Thus, improved methods are presented and evaluated on long-term ECG data recordings. Paper also concentrates on the drawbacks and advantages of the methods. This paper also presents and evaluates novel method called ACO\_DTree for classification tree generation and their evolution inspired by natural processes.
  • In the present time, biomedical data processing is an important step in the process of diagnostics, prevention and healthcare in the physicians work. The goal of this work is to help the physicians to cope with long-term biomedical data. In present time, many optimization, classification and data processing methods are inspired by nature. This paper reviews most recent advances on the field of ant colony inspired clustering. With constantly growing datasets needed to be processed, there is a significant need to study and implement robust and effective methods for processing such datasets. Thus, improved methods are presented and evaluated on long-term ECG data recordings. Paper also concentrates on the drawbacks and advantages of the methods. This paper also presents and evaluates novel method called ACO\_DTree for classification tree generation and their evolution inspired by natural processes. (en)
  • Účelem této práce je poskytnout pomoc lékařům, kteří pracují s dlouhodobými biomedicinskými záznamy. K dispozici je velké množství algoritmů inspirovaných přírodními procesy. Práce uvádí některé vylepšené metody a jejich aplikaci na dlouhodobé záznamy EKG. Uvádíme i novou metodu ACO_DTree, která slouží k vytváření rozhodovacích stromů a jejich optimalizaci. (cs)
Title
  • Improved Ant Colony Inspired Algorithms in Biomedical Data Processing
  • Improved Ant Colony Inspired Algorithms in Biomedical Data Processing (en)
  • Veylepšené algoritmy inspirované mravenčími koloniemi při zpracování biomedicínských dat (cs)
skos:prefLabel
  • Improved Ant Colony Inspired Algorithms in Biomedical Data Processing
  • Improved Ant Colony Inspired Algorithms in Biomedical Data Processing (en)
  • Veylepšené algoritmy inspirované mravenčími koloniemi při zpracování biomedicínských dat (cs)
skos:notation
  • RIV/68407700:21230/08:03145519!RIV09-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770012)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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http://linked.open...iv/duvernostUdaju
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http://linked.open...dnocenehoVysledku
  • 371683
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/08:03145519
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http://linked.open.../riv/klicovaSlova
  • ACO_DTree; ant colony clustering; ant colony optimization; dynamic time warping (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [F34AE1DC477D]
http://linked.open...v/mistoKonaniAkce
  • Lefkada
http://linked.open...i/riv/mistoVydani
  • Singapore
http://linked.open...i/riv/nazevZdroje
  • Advaced Topics in Scattering and Biomedical Engineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Burša, Miroslav
  • Huptych, Michal
  • Lhotská, Lenka
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • World Scientific
https://schema.org/isbn
  • 978-981-281-484-5
http://localhost/t...ganizacniJednotka
  • 21230
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