Machine learning-based prediction of prolonged length of stay in older patients with type 2 diabetes mellitus and cardiovascular disease
The XGBoost-based model effectively predicts PLOS risk in older T2DM-CVD patients and shows promise for early identification of high-risk individuals and optimization of medical resource allocation within the institutional setting.