Interpretable machine learning enables early identification of financial risk and resource optimization in colorectal cancer surgery
An interpretable machine learning framework can provide individualized estimation of DRG-related financial risk in CRC surgery and its integration into a point-of-care decision-support tool may support perioperative risk review, resource planning, and complex-case management under DRG-based reimbursement.