Formation of Hypotheses on Stress Using Machine Learning Methods

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F03%3A00087920" target="_blank" >RIV/68407700:21230/03:00087920 - 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

Formation of Hypotheses on Stress Using Machine Learning Methods

Original language description

Data collected in medical experiments are most often carefully analysed using statistical SW packages. These SW packages have become a standard equipment of any laboratory collecting experimental data. We argue that it is time to enhance this equipment by machine learning methods which have been designed and developed during the last twenty years. We present a case study which proves that machine learning algorithms can serve as a valuable source of heuristics when searching for interesting hypotheses,which are valid in the collected data.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

JC - Computer hardware and software

OECD FORD branch

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Project

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Continuities

R - Projekt Ramcoveho programu EK

Publication year

2003

Confidentiality

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

Article name in the collection

Intelligent and Adaptive Systems in Medicine

ISBN

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ISSN

1213-3000

e-ISSN

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Number of pages

6

Pages from-to

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Publisher name

ČVUT v Praze, FEL

Place of publication

Praha

Event location

Praha

Event date

Mar 31, 2003

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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