Machine learning prediction model for early postoperative hypoalbuminemia after pulmonary surgery: a retrospective case-matched comparative study | Synapse
March 3, 2026Open Access
Machine learning prediction model for early postoperative hypoalbuminemia after pulmonary surgery: a retrospective case-matched comparative study
Puntos clave
Hypoalbuminemia was effectively predicted using a machine learning algorithm after pulmonary surgery.
The LR-based machine learning approach achieved excellent performance in identifying patients at risk.
This retrospective case-matched comparative analysis focused on serum albumin levels post-surgery.
The findings support the potential of predictive models in enhancing patient care for postoperative outcomes.
Resumen
The LR-based ML algorithm demonstrated excellent performance and effectively identified patients at high risk of EPH after pulmonary surgery serum albumin (ALB) <35 g/L within 5 days of pulmonary surgery.