Comparative study on predicting postoperative distant metastasis of lung cancer based on machine learning models

Key Points

• Predictive models successfully identify the risk of distant metastasis after lung cancer surgery,
• Machine learning techniques indicate significant predictive accuracy with over 80% sensitivity and specificity,
• Analysis involves comparative evaluation of various machine learning models on clinical datasets,
• This approach may enable tailored postoperative monitoring strategies; further validation needed.