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Monitoring Human Larynx by Random Forests Using Questionnaire Data
Halmstad University, School of Information Science, Computer and Electrical Engineering (IDE), Halmstad Embedded and Intelligent Systems Research (EIS), Intelligent systems (IS-lab).ORCID iD: 0000-0003-2185-8973
Kaunas University of Technology.
Kaunas University of Technology.
Kaunas University of Medicine.
2011 (English)In: Proceedings of the 11th International Conference on Intelligent Systems Design and Applications, ISDA, Cordoba, 22-24 november, 2011, IEEE Computer Society, 2011, p. 914-919Conference paper, Published paper (Refereed)
Abstract [en]

This paper is concerned with noninvasive monitoring of human larynx using subject’s questionnaire data. By applying random forests (RF), questionnaire data arecategorized into a healthy class and several classes of disorders including: cancerous, noncancerous, diffuse, nodular, paralysis, and an overall pathological class. The most important questionnaire statements are determined using RF variable importance evaluations. To explore multidimensional data, t-Distributed Stochastic Neighbor Embedding (t-SNE) and multidimensionalscaling (MDS) are applied to the RF data proximity matrix.When testing the developed tools on a set of data collectedfrom 109 subjects, 100% classification accuracy was obtainedon unseen data coming from two—healthy and pathological—classes. The accuracy of 80.7% was achieved when classifyingthe data into the healthy, cancerous, and noncancerous classes.The t-SNE and MDS mapping techniques facilitate data explorationaimed at identifying subjects belonging to a ”riskgroup”. It is expected that the developed tools will be of greathelp in preventive health care in laryngology.

Place, publisher, year, edition, pages
IEEE Computer Society, 2011. p. 914-919
Keyword [en]
Random forests; Variable importance; Variable selection; Classifier; Data proximity; Human larynx
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:hh:diva-16647DOI: 10.1109/ISDA.2011.6121774Scopus ID: 2-s2.0-84857544224ISBN: 978-1-4577-1676-8 OAI: oai:DiVA.org:hh-16647DiVA, id: diva2:461866
Conference
The 11th International Conference on Intelligent Systems Design and Applications
Available from: 2011-12-05 Created: 2011-12-05 Last updated: 2014-11-10Bibliographically approved

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Verikas, Antanas

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf