多模态机器学习预测重性抑郁障碍复发:现有证据与未来方向

Multimodal Machine Learning-Based Prediction of Relapse in Major Depressive Disorder: Current Evidence and Future Directions

This review synthesizes recent evidence on machine learning models integrating multimodal data for relapse prediction in MDD, highlighting moderate accuracy driven mainly by clinical risk factors and advocating for dynamic approaches to better capture longitudinal relapse trajectories.