Systematic review and meta-analysis of explainable machine learning models for clinical depression detection

Systematic review and meta-analysis of explainable machine learning models for clinical depression detection

Depression is among the most prevalent mental disorders, and its early detection is essential to improving therapeutic outcomes in psychotherapy. This systematic review and meta-analysis evaluated the accuracy, interpretability, and generalizability of supervised algorithms (SVM, Random Forest, XGBo...

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Bibliografische gegevens
Hoofdauteur:	Trelles Urgiles, Francisco Ariosto (author)
Formaat:	article
Gepubliceerd in:	2025
Onderwerpen:	MACHINE LEARNING DEPRESSION EXPLAINABILITY
Online toegang:	http://repositorio.utmachala.edu.ec/handle/48000/25373
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!

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