Explainable Multi-Layer Dynamic Ensemble Framework Optimized for Depression Detection and Severity Assessment

Explainable Multi-Layer Dynamic Ensemble Framework Optimized for Depression Detection and Severity Assessment

Background: Depression is a pervasive mental health condition, particularly affecting older adults, where early detection and intervention are essential to mitigate its impact. This study presents an explainable multi-layer dynamic ensemble framework designed to detect depression and assess its seve...

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Bibliografski detalji
Glavni autori: Dillan Imans, Tamer Abuhmed, Meshal Alharbi, Shaker El-Sappagh
Format: Članak
Jezik:English
Izdano: MDPI AG 2024-10-01
Serija:Diagnostics
Teme:
dynamic ensemble
explainable AI
depression detection
classifier optimization
machine learning
Online pristup:https://www.mdpi.com/2075-4418/14/21/2385

Internet

https://www.mdpi.com/2075-4418/14/21/2385

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