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.
· Frontiers in Medicine · 0 citations