Performance evaluation of Random Forest regression model in tracking Parkinson's disease progress
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F14%3A86092442" target="_blank" >RIV/61989100:27240/14:86092442 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27740/14:86092442
Result on the web
<a href="http://dx.doi.org/10.1109/HIS.2013.6920459" target="_blank" >http://dx.doi.org/10.1109/HIS.2013.6920459</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/HIS.2013.6920459" target="_blank" >10.1109/HIS.2013.6920459</a>
Alternative languages
Result language
angličtina
Original language name
Performance evaluation of Random Forest regression model in tracking Parkinson's disease progress
Original language description
In this paper, capabilities of the Random Forest algorithm are tested with application to the Parkinson's disease progression that can be determined from speech. Results are compared with the linear regression model and the Classification and RegressionTree method. Mean Squared Error and Mean Absolute Error values were calculated and compared for each of the approaches. The Random Forest algorithm belongs to the group model category and usually improves the results achieved by regression trees, makingit more suitable for fighting the disease.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2014
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 2013 Thirteenth International Conference on Hybrid Intelligent Systems (HIS 2013) : Yassmine Hammamet, Tunisia, 04-06 December, 2013
ISBN
978-1-4799-2439-4
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
83-87
Publisher name
IEEE
Place of publication
Piscataway
Event location
Yassmine Hammamet
Event date
Dec 4, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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