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...
| Main Authors: | , |
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| Format: | Thesis |
| Language: | English English |
| Published: |
Institute of Advanced Engineering and Science (IAES)
2024
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/45396/ https://ijai.iaescore.com/index.php/IJAI/index ISSN/e-ISSN 2089-4872/2252-8938 |
| Abstract | Abstract here |
