Inductive Modeling in Newborn Sleep Stage Recognition

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F07%3A03133125" target="_blank" >RIV/68407700:21230/07:03133125 - 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

Inductive Modeling in Newborn Sleep Stage Recognition

Original language description

This paper addresses automated classification of newborn sleep electroencephalogram (EEG) using inductive classification methods. In this study we use data provided by the Institute for the Care of Mother and Child in Prague (12 newborn polysomnografic signal; similar postconceptional age; all data are scored by an experienced neurologist). Automated classification is performed by inductive models evolution through ant-colony approach (ACO-DTree algorithm) and the GAME (Group of Adaptive Models Evolution) inductive models. The results are compared with standard cross validation method. Using inductive modeling methods produced better results with improved generalization skills of the classifier. The purpose of this study is to facilitate the work of neurologist.

Czech name

Inductive Modeling in Newborn Sleep Stage Recognition

Czech description

This paper addresses automated classification of newborn sleep electroencephalogram (EEG) using inductive classification methods. In this study we use data provided by the Institute for the Care of Mother and Child in Prague (12 newborn polysomnografic signal; similar postconceptional age; all data are scored by an experienced neurologist). Automated classification is performed by inductive models evolution through ant-colony approach (ACO-DTree algorithm) and the GAME (Group of Adaptive Models Evolution) inductive models. The results are compared with standard cross validation method. Using inductive modeling methods produced better results with improved generalization skills of the classifier. The purpose of this study is to facilitate the work of neurologist.

Type

D - Article in proceedings

CEP classification

IN - Informatics

OECD FORD branch

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Project

<a href="/en/project/KJB201210701" target="_blank" >KJB201210701: Automated Knowledge Extraction</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2007

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

IWIM 2007 - International Workshop on Inductive Modelling

ISBN

978-80-01-03881-9

ISSN

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e-ISSN

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Number of pages

6

Pages from-to

312-317

Publisher name

Czech Technical University in Prague

Place of publication

Praha

Event location

Praha

Event date

Sep 23, 2007

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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