Random subspace method for sleep stage classification of autism patients

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Autism is the most severe conditions in developmental disorders in children. The number of autism people has increased every year. The autism children often experience sleep problems when compared to children in the general population. Sleep problems are a major health problem in autism children. This problem can cause other disorders such as behavioral disorders, cognitive, and aggravate the symptoms of autism itself. To prevent it, the screening for quality sleep is needed in autism children. This process can be done through the polysomnography. But the doctors need several days to analyze it. Therefore this study proposed an automatic sleep stage classification based on the random subspace method. The method created the decision forest from some random tree. The results showed that it had the highest performance in this study.

Original languageEnglish
Title of host publication2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages305-309
Number of pages5
ISBN (Electronic)9781538674222
DOIs
Publication statusPublished - Nov 2018
Event2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018 - Yogyakarta, Indonesia
Duration: 21 Nov 201822 Nov 2018

Publication series

Name2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018

Conference

Conference2018 International Seminar on Research of Information Technology and Intelligent Systems, ISRITI 2018
Country/TerritoryIndonesia
CityYogyakarta
Period21/11/1822/11/18

Keywords

  • Autism
  • Classification
  • Machine learning
  • Random subspace method

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