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Yu-Cai Jiang

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Open access Jul 2026

To construct a risk prediction model for poor discharge readiness in patients undergoing elective unilateral lower extremity joint replacement based on clinical and psychosocial factors

This study successfully developed a high-precision and interpretable machine learning prediction tool that can effectively identify high-risk patients with poor discharge readiness and highlights the critical impact of shortening hospital stay, preoperative psychological state, and socioeconomic status on rehabilitation outcomes.

Dan-dan Lin, Yu-Cai Jiang, Lin-Lin Zheng et al. · 0 citations