A machine learning study involving 1,234 gastric cancer patients revealed that H. pylori infection is the predominant high-risk factor for cancer recurrence post-gastrectomy. Utilizing four algorithms, the XGBoost model outperformed others in accuracy, identifying critical risk elements such as tumor invasion depth and lymph node metastasis. The findings suggest that machine learning can aid clinicians in recognizing significant prognostic factors, facilitating personalized patient monitoring and enhancing immunotherapy applications.
Journal Article by Liu Y, Shang X (…) Zhu Y et 2 al. in Int J Gen Med
© 2024 Liu et al.