Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
Creating artificial intelligence solutions in E-health infrastructure to support disabled people. / Grigoryan, David; Muradov, Avetik; Balyan, Serob; Abrahamyan, Suren; Katvalyan, Armine; Korkhov, Vladimir; Iakushkin, Oleg; Kulabukhova, Natalia; Shchegoleva, Nadezhda.
в: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Том 10963, 04.07.2018, стр. 41-50.Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование
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TY - JOUR
T1 - Creating artificial intelligence solutions in E-health infrastructure to support disabled people
AU - Grigoryan, David
AU - Muradov, Avetik
AU - Balyan, Serob
AU - Abrahamyan, Suren
AU - Katvalyan, Armine
AU - Korkhov, Vladimir
AU - Iakushkin, Oleg
AU - Kulabukhova, Natalia
AU - Shchegoleva, Nadezhda
PY - 2018/7/4
Y1 - 2018/7/4
N2 - 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.
AB - 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.
KW - Artificial intelligence
KW - E-Health
KW - Information retrieval
KW - Learning technologies
KW - Mobile computing
UR - http://www.scopus.com/inward/record.url?scp=85049967024&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/creating-artificial-intelligence-solutions-ehealth-infrastructure-support-disabled-people
U2 - 10.1007/978-3-319-95171-3_4
DO - 10.1007/978-3-319-95171-3_4
M3 - Article
AN - SCOPUS:85049967024
VL - 10963
SP - 41
EP - 50
JO - Lecture Notes in Computer Science
JF - Lecture Notes in Computer Science
SN - 0302-9743
T2 - 18th International Conference on Computational Science and Its Applications, ICCSA 2018
Y2 - 2 July 2018 through 5 July 2018
ER -
ID: 35284038