医学
格拉斯哥昏迷指数
队列
败血症
逻辑回归
损伤严重程度评分
死亡率
队列研究
回顾性队列研究
前瞻性队列研究
内科学
急诊医学
机器学习
毒物控制
外科
伤害预防
计算机科学
作者
Baisheng Sun,M. Lei,Li Wang,Xiaoli Wang,Xiaoming Li,Zhi Mao,Hongjun Kang,Hui Liu,Shiying Sun,Chao Liu
标识
DOI:10.1097/js9.0000000000001866
摘要
Sepsis remains a significant challenge in patients with major trauma in the ICU. Early detection and treatment are crucial for improving outcomes and reducing mortality rates. Nonetheless, clinical tools for predicting sepsis among patients with major trauma are limited. This study aimed to develop and validate an artificial intelligence (AI) platform for predicting the risk of sepsis among patients with major trauma.
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