Review
Open access
Aug 2026
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.
Biao Fan, Zi-Hao Bian, Jing Wang et al.
· Frontiers in Public Health · 0 citations