Creating artificial intelligence solutions in E-health infrastructure to support disabled people

David Grigoryan, Avetik Muradov, Serob Balyan, Suren Abrahamyan, Armine Katvalyan, Vladimir Korkhov, Oleg Iakushkin, Natalia Kulabukhova, Nadezhda Shchegoleva

Research output

Abstract

Recently, the creation of a barrier-free environment for disabled people is becoming more and more important. All this is done so that people do not feel difficulties in filing their ordinary needs, including communication. For this purpose, a communicator application was developed that allows communication using card-pictograms for people with speech and writing disorders, particularly people with ASD. According to the US National Center for Health Statistics and the Health Resources and Services Administration, in 2011–2012 Autism was detected in 2% of schoolchildren worldwide, and this problem is very relevant. This article discusses several approaches of using Artificial Intelligence to simplify text typing with pictogram based cards by predictive input, which allows users faster compose messages and simplify communication process. A tool for analyzing the texts semantics - Word2Vec, was used, which is a neural network of direct distribution. Two approaches are considered: Continuous Bag of Words and Skip-gram. Also quality measures of advisory systems were used, and an approach giving the best results was identified. Besides that, quality measurements were carried out to identify optimal solutions of sentiment analysis to automatically detect suspicious messages sent by the users with such disabilities, which will help doctors to enhance their capabilities of monitoring and behavioral control and take appropriate actions if undesirable behavior of patient is detected by the system.

Original languageEnglish
Pages (from-to)41-50
Number of pages10
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10963
DOIs
Publication statusPublished - 4 Jul 2018
Event18th International Conference on Computational Science and Its Applications, ICCSA 2018 - Melbourne
Duration: 2 Jul 20185 Jul 2018

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Pictogram
Artificial intelligence
Artificial Intelligence
Health
Infrastructure
Communication
Simplify
Sentiment Analysis
Quality Measures
Disability
Disorder
Optimal Solution
Semantics
Statistics
Monitoring
Neural Networks
Neural networks
Resources
Text

Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

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abstract = "Recently, the creation of a barrier-free environment for disabled people is becoming more and more important. All this is done so that people do not feel difficulties in filing their ordinary needs, including communication. For this purpose, a communicator application was developed that allows communication using card-pictograms for people with speech and writing disorders, particularly people with ASD. According to the US National Center for Health Statistics and the Health Resources and Services Administration, in 2011–2012 Autism was detected in 2{\%} of schoolchildren worldwide, and this problem is very relevant. This article discusses several approaches of using Artificial Intelligence to simplify text typing with pictogram based cards by predictive input, which allows users faster compose messages and simplify communication process. A tool for analyzing the texts semantics - Word2Vec, was used, which is a neural network of direct distribution. Two approaches are considered: Continuous Bag of Words and Skip-gram. Also quality measures of advisory systems were used, and an approach giving the best results was identified. Besides that, quality measurements were carried out to identify optimal solutions of sentiment analysis to automatically detect suspicious messages sent by the users with such disabilities, which will help doctors to enhance their capabilities of monitoring and behavioral control and take appropriate actions if undesirable behavior of patient is detected by the system.",
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