医学
逻辑回归
回顾性队列研究
接收机工作特性
心肌梗塞
弗雷明翰风险评分
倾向得分匹配
队列
胃肠道出血
内科学
决策树
急诊医学
疾病
数据挖掘
计算机科学
作者
Yanqi Kou,Shicai Ye,Yuan Tian,Ke Yang,Ling Qin,Zhe Huang,Botao Luo,Yanping Ha,Liping Zhan,Ruyin Ye,Yujie Huang,Qing Zhang,Kun He,Mingkai Liang,Jieming Zheng,Hua‐Chih Huang,Chun-Yi Wu,Lei Ge,Yuping Yang
摘要
The ML-based RF model provides a robust and clinically applicable tool for predicting in-hospital GIB in patients with AMI. By leveraging routinely available clinical and laboratory data, the model supports early risk stratification and personalized preventive strategies.
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