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  • 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 Regression Tree 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, making it more suitable for fighting the disease.
  • 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 Regression Tree 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, making it more suitable for fighting the disease. (en)
Title
  • Performance evaluation of Random Forest regression model in tracking Parkinson's disease progress
  • Performance evaluation of Random Forest regression model in tracking Parkinson's disease progress (en)
skos:prefLabel
  • Performance evaluation of Random Forest regression model in tracking Parkinson's disease progress
  • Performance evaluation of Random Forest regression model in tracking Parkinson's disease progress (en)
skos:notation
  • RIV/61989100:27740/14:86092442!RIV15-MSM-27740___
http://linked.open...avai/riv/aktivita
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  • P(ED1.1.00/02.0070), P(EE.2.3.20.0073), S
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
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  • 36141
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  • RIV/61989100:27740/14:86092442
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  • Parkinsons disease; regression; Random Forest (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [5FD465BDD098]
http://linked.open...v/mistoKonaniAkce
  • Yassmine Hammamet
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  • Piscataway
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  • Proceedings of the 2013 Thirteenth International Conference on Hybrid Intelligent Systems (HIS 2013) : Yassmine Hammamet, Tunisia, 04-06 December, 2013
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  • Gajdoš, Petr
  • Peterek, Tomáš
  • Šmondrk, Maroš
  • Dohnálek, Pavel
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http://linked.open.../riv/zahajeniAkce
number of pages
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  • 10.1109/HIS.2013.6920459
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  • IEEE
https://schema.org/isbn
  • 978-1-4799-2439-4
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  • 27740
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