Optimizing Interactive Mental Learning Activity Software for Accurate Cognitive Profiling in Individuals with Down Syndrome
Down syndrome is a lifelong cognitive impairment characterized by lower mental skills and intelligence quotient (IQ) compared to their typical peers. The profile is not curable. However, research has been conducted to supplement and improve cognitive functioning through computing and software applic...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Fuji Technology Press Ltd.
2024
|
Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/45433/1/Fujipress_JACIII-28-4-16.pdf http://ir.unimas.my/id/eprint/45433/ https://www.jstage.jst.go.jp/article/jaciii/28/4/28_901/_article/-char/en https://doi.org/10.20965/jaciii.2024.p0901 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my.unimas.ir.45433 |
---|---|
record_format |
eprints |
spelling |
my.unimas.ir.454332024-07-30T07:07:40Z http://ir.unimas.my/id/eprint/45433/ Optimizing Interactive Mental Learning Activity Software for Accurate Cognitive Profiling in Individuals with Down Syndrome Irfan, M. Leghari Hamimah, Ujir Syed Asif, Ali Irwandi Hipni, Mohamad Hipiny QA Mathematics QA75 Electronic computers. Computer science Down syndrome is a lifelong cognitive impairment characterized by lower mental skills and intelligence quotient (IQ) compared to their typical peers. The profile is not curable. However, research has been conducted to supplement and improve cognitive functioning through computing and software applications. Conventional cognitive applications and IQ scales pose significant challenges as they are not developed based on specific cognitive guidelines. Therefore, such methods often fail to accurately assess cognitive profiling, resulting in uncertainty. To overcome these challenges, Interactive Mental Learning Activity Software utilizes tailored guidelines incorporating fuzzy logic rules, ensuring accurate cognitive profiling for Down syndrome. Fuzziness was applied within the machine learning framework across three groups structured based on IQ levels. A total of N=200 individuals with Down syndrome participated in the IQ assessment. The findings revealed that individuals with mild impairment demonstrated a higher degree of improvement in cognitive abilities compared to moderate and severe levels. However, the severe category appears to have an unrealistic probability, leading to a standstill in progress. The implementation of the specific guided system led to improvements of 6%, 5%, and 5% in individuals with mild, moderate, and severe cases, respectively. Fuji Technology Press Ltd. 2024-07 Article PeerReviewed text en http://ir.unimas.my/id/eprint/45433/1/Fujipress_JACIII-28-4-16.pdf Irfan, M. Leghari and Hamimah, Ujir and Syed Asif, Ali and Irwandi Hipni, Mohamad Hipiny (2024) Optimizing Interactive Mental Learning Activity Software for Accurate Cognitive Profiling in Individuals with Down Syndrome. Journal of Advanced Computational Intelligence and Intelligent Informatics, 28 (4). pp. 901-908. ISSN 1883-8014 https://www.jstage.jst.go.jp/article/jaciii/28/4/28_901/_article/-char/en https://doi.org/10.20965/jaciii.2024.p0901 |
institution |
Universiti Malaysia Sarawak |
building |
Centre for Academic Information Services (CAIS) |
collection |
Institutional Repository |
continent |
Asia |
country |
Malaysia |
content_provider |
Universiti Malaysia Sarawak |
content_source |
UNIMAS Institutional Repository |
url_provider |
http://ir.unimas.my/ |
language |
English |
topic |
QA Mathematics QA75 Electronic computers. Computer science |
spellingShingle |
QA Mathematics QA75 Electronic computers. Computer science Irfan, M. Leghari Hamimah, Ujir Syed Asif, Ali Irwandi Hipni, Mohamad Hipiny Optimizing Interactive Mental Learning Activity Software for Accurate Cognitive Profiling in Individuals with Down Syndrome |
description |
Down syndrome is a lifelong cognitive impairment characterized by lower mental skills and intelligence quotient (IQ) compared to their typical peers. The profile is not curable. However, research has been conducted to supplement and improve cognitive functioning through computing and software applications. Conventional cognitive applications and IQ scales pose significant challenges as they are not developed based on specific cognitive guidelines. Therefore, such methods often fail to accurately assess cognitive profiling, resulting in uncertainty. To overcome these challenges, Interactive Mental Learning Activity Software utilizes tailored guidelines incorporating fuzzy logic rules, ensuring accurate cognitive profiling for Down syndrome. Fuzziness was applied within the machine learning framework across three groups structured based on IQ levels. A total of N=200 individuals with Down syndrome participated in the IQ assessment. The findings revealed that individuals with mild impairment demonstrated a higher degree of improvement in cognitive abilities compared to moderate and severe levels. However, the severe category appears to have an unrealistic probability, leading to a standstill in progress. The implementation of the specific guided system led to improvements of 6%, 5%, and 5% in individuals with mild, moderate, and severe cases, respectively. |
format |
Article |
author |
Irfan, M. Leghari Hamimah, Ujir Syed Asif, Ali Irwandi Hipni, Mohamad Hipiny |
author_facet |
Irfan, M. Leghari Hamimah, Ujir Syed Asif, Ali Irwandi Hipni, Mohamad Hipiny |
author_sort |
Irfan, M. Leghari |
title |
Optimizing Interactive Mental Learning Activity Software for Accurate Cognitive Profiling in Individuals with Down Syndrome |
title_short |
Optimizing Interactive Mental Learning Activity Software for Accurate Cognitive Profiling in Individuals with Down Syndrome |
title_full |
Optimizing Interactive Mental Learning Activity Software for Accurate Cognitive Profiling in Individuals with Down Syndrome |
title_fullStr |
Optimizing Interactive Mental Learning Activity Software for Accurate Cognitive Profiling in Individuals with Down Syndrome |
title_full_unstemmed |
Optimizing Interactive Mental Learning Activity Software for Accurate Cognitive Profiling in Individuals with Down Syndrome |
title_sort |
optimizing interactive mental learning activity software for accurate cognitive profiling in individuals with down syndrome |
publisher |
Fuji Technology Press Ltd. |
publishDate |
2024 |
url |
http://ir.unimas.my/id/eprint/45433/1/Fujipress_JACIII-28-4-16.pdf http://ir.unimas.my/id/eprint/45433/ https://www.jstage.jst.go.jp/article/jaciii/28/4/28_901/_article/-char/en https://doi.org/10.20965/jaciii.2024.p0901 |
_version_ |
1806456055468654592 |
score |
13.18916 |