Improved Ant Colony Inspired Algorithms in Biomedical Data Processing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F08%3A03145519" target="_blank" >RIV/68407700:21230/08:03145519 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Improved Ant Colony Inspired Algorithms in Biomedical Data Processing
Original language description
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 significantneed 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.
Czech name
Veylepšené algoritmy inspirované mravenčími koloniemi při zpracování biomedicínských dat
Czech description
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.
Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2008
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advaced Topics in Scattering and Biomedical Engineering
ISBN
978-981-281-484-5
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
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Publisher name
World Scientific
Place of publication
Singapore
Event location
Lefkada
Event date
Sep 28, 2007
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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