Measuring and assessing intelligence level in children and adolescents is crucial for monitoring their developmental progress, identifying intellectual disabilities, and implementing early interventions. To date, there is no digital and simplified tool specifically designed to evaluate whether intelligence is normal or abnormal in these age stages.

DOI Link: 
10.21227/negv-4h04
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[1] Runzhou Wang, "PGAE-ICA: A simplified digital system for intellectual measurement-assessment in children and adolescents using cognitive testing and machine learning techniques", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/negv-4h04. Accessed: Dec. 09, 2024.
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doi = {10.21227/negv-4h04},
url = {http://dx.doi.org/10.21227/negv-4h04},
author = {Runzhou Wang },
publisher = {IEEE Dataport},
title = {PGAE-ICA: A simplified digital system for intellectual measurement-assessment in children and adolescents using cognitive testing and machine learning techniques},
year = {2024} }
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T1 - PGAE-ICA: A simplified digital system for intellectual measurement-assessment in children and adolescents using cognitive testing and machine learning techniques
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Runzhou Wang. (2024). PGAE-ICA: A simplified digital system for intellectual measurement-assessment in children and adolescents using cognitive testing and machine learning techniques. IEEE Dataport. http://dx.doi.org/10.21227/negv-4h04
Runzhou Wang, 2024. PGAE-ICA: A simplified digital system for intellectual measurement-assessment in children and adolescents using cognitive testing and machine learning techniques. Available at: http://dx.doi.org/10.21227/negv-4h04.
Runzhou Wang. (2024). "PGAE-ICA: A simplified digital system for intellectual measurement-assessment in children and adolescents using cognitive testing and machine learning techniques." Web.
1. Runzhou Wang. PGAE-ICA: A simplified digital system for intellectual measurement-assessment in children and adolescents using cognitive testing and machine learning techniques [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/negv-4h04
Runzhou Wang. "PGAE-ICA: A simplified digital system for intellectual measurement-assessment in children and adolescents using cognitive testing and machine learning techniques." doi: 10.21227/negv-4h04