Construction and interpretation of weight-balanced enhanced machine learning models for predicting liver metastasis risk in colorectal cancer patients

Elevated levels of carcinoembryonic antigen (CEA) have been identified as a crucial clinical predictor for liver metastasis in CRC patients. Furthermore, the administration of systemic therapy to patients who do not exhibit lymph node involvement has been found to increase the risk of liver metastasis. In terms of radiation therapy, preoperative radiation appears to be more efficacious in controlling the risk of liver metastasis compared to postoperative radiation. This finding underscores the importance of optimizing treatment strategies based on the specific clinical context and patient characteristics.