Explainable Machine Learning in the Prediction of Depression

Explainable Machine Learning in the Prediction of Depression

<b>Background:</b> Depression constitutes a major public health issue, being one of the leading causes of the burden of disease worldwide. The risk of depression is determined by both genetic and environmental factors. While genetic factors cannot be altered, the identification of potent...

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Main Authors: Christina Mimikou, Christos Kokkotis, Dimitrios Tsiptsios, Konstantinos Tsamakis, Stella Savvidou, Lillian Modig, Foteini Christidi, Antonia Kaltsatou, Triantafyllos Doskas, Christoph Mueller, Aspasia Serdari, Kostas Anagnostopoulos, Gregory Tripsianis
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Diagnostics
Subjects:
artificial intelligence
neural networks
logistic regression
support vector machine
XGBoost
interpretation
Online Access:https://www.mdpi.com/2075-4418/15/11/1412
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