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2026	Development and validation of nomograms for predicting depression and suicidal ideation in stroke survivors: a community-based study BMC Psychiatry Zicheng Cheng, Lili Ma, Meiqi Zhao, Tong Xu, Jianing Wang, Xinxia Zhu, Zhao Han
2025	Establishment and validation of a model for predicting depression risk in stroke patients BMC Psychiatry Fangbo Lin, Meiyun Zhou
2025	Clinical prediction models for post-stroke depression: a systematic review and meta-analysis Frontiers in Psychiatry Honggang Wu, Yating Xiao, Xin Hu, Chao You, Niandong Zheng, Lu Ma
2025	Accuracy of Machine Learning in Predicting Post‐Stroke Depression: A Systematic Review and Meta‐Analysis Brain and Behavior Husile Husile, Qinglin Bao, Sarula Sarula, Chu La, Wujisiguleng Wujisiguleng, Siqintu Siqintu, Temuqile Temuqile
2025	Network-based predictive models for artificial intelligence: an interpretable application of machine learning techniques in the assessment of depression in stroke patients BMC Geriatrics Wenwei Zuo, Xuelian Yang
2025	Development and interpretation of a machine learning risk prediction model for post-stroke depression in a Chinese population Scientific Reports Xia Zhong, Tianen Zhao, Shimeng Lv, Guangheng Zhang, Jing Li, Donghai Liu, Huachen Jiao
2025	Developing a predictive model for classifying high-risk groups of post-stroke depressive symptoms based on the health ecology model and Harvard Cancer Index Psychology, Health & Medicine Zeming Zhuang, Longfei Ji, Yuxi Chen, Enlin Chen, Fengling Mo, Jiakun Zhou, Mingzhe Zhang, Lifang Zhang
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