HERMES：基于临床笔记的对比感知知识图谱推理用于患者结局预测
原标题：HERMES: Contrast-Aware Knowledge Graph Reasoning from Clinical Notes for Patient Outcome Prediction
AI 摘要
越南多所高校与VNPT AI的研究者提出HERMES，一个仅基于临床文本的图推理框架，用于患者结局预测。该方法利用LLM引导的抽取构建个性化知识图谱，并通过对比逻辑建模显式捕捉时间动态、治疗失败与结局变化，再用图注意力网络生成患者表示。在MIMIC-III和MIMIC-IV上的院内死亡率和30天再入院预测任务中，HERMES持续优于纯文本基线。
正文节选
22institutetext: Hanoi University of Science and Technology, Hanoi, Vietnam 33institutetext: A2I Lab, Phenikaa School of Computing, Phenikaa University, Hanoi, Vietnam 44institutetext: Department of Head and Neck Surgery, Vietnam National Cancer Hospital & Hanoi Medical University, Hanoi, Vietnam 55institutetext: VNPT AI, VNPT Group, Hanoi, Vietnam 55email: {bachng.bai, 11247162}@st.neu.edu.vn, {cuong.vuongtuan, trang.maixuan}@phenikaa-uni.edu.vn, duyyhn@gmail.com, nguyentiencuong@vnpt.vn, {huan