Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of depression in stroke patients

Abstract Background Depression is a common complication after a stroke that may lead to increased disability and decreased quality of life. The objective of this study was to develop and validate an interpretable predictive model to assess the risk of depression in stroke patients using machine lear...

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Bibliographic Details

Published in:	BMC Geriatrics
Main Authors:	Wenwei Zuo, Xuelian Yang
Format:	Article
Language:	English
Published:	BMC 2025-03-01
Subjects:	Stroke Depression Machine learning Interpretable Predictive model
Online Access:	https://doi.org/10.1186/s12877-025-05837-5