Leveraging sMRI, Self-Attention Mechanisms, and Evolving Spiking Neural Networks for Enhanced Suicide Ideation Detection in Depressed Young Adults

Accurate assessment of suicide ideation (SI) risk in depressed young adults remains a critical challenge, with existing methods exhibiting limited effectiveness. This study proposes a novel machine learning approach leveraging Evolving Spiking Neural Networks (ESNN) to enhance SI risk detection util...

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Bibliographic Details

Main Authors:	Corrine, Francis, Abdulrazak Yahya, Saleh
Format:	Thesis
Language:	en en
Published:	Institute of Advanced Engineering and Science (IAES) 2024
Subjects:	Q Science (General) T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/45396/4/Thesis%20Master_%20Corrine%20Francis%20-%2024%20pages.pdf http://ir.unimas.my/id/eprint/45396/5/Thesis%20Master_%20Corrine%20Francis.ftext.pdf http://ir.unimas.my/id/eprint/45396/ https://ijai.iaescore.com/index.php/IJAI/index
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