GC-CDSS:基于知识图的个性化胃癌治疗建议系统
Shuchun Li1, Zhiang Li2, Kui Xue3
1Department of General Surgery, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai 200025, China; Shanghai Minimally Invasive Surgery Center, Ruijin Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai 200025, China.
International journal of medical informatics
|March 11, 2024
概括
一个新的基于AI的临床决策支持系统 (CDSS) 用于胃癌 (GC) 治疗是使用知识图 (KG) 开发的. 这种GC-CDSS与多学科团队实现了92.96%的一致性,增强了治疗决策.
科学领域:
- 在瘤学瘤学.
- 人工智能的人工智能
- 医疗信息学 医疗信息学
背景情况:
- 胃癌 (GC) 是全球普遍存在的恶性瘤,需要有效的治疗策略.
- 目前的GC治疗依赖于多学科团队 (MDT) 咨询,整合各种临床指南和试验数据.
- 基于AI的临床决策支持系统 (CDSS) 的整合在癌症诊断和查方面正在迅速推进.
研究的目的:
- 将中国GC治疗指南整合成一个全面的知识图 (KG).
- 开发一个基于AI的CDSS用于胃癌,利用构建的KG.
- 评估开发的GC-CDSS的可行性和一致性,与已建立的治疗决策过程相比.
主要方法:
- 系统总结GC治疗决策过程和提取关键节点和关系.
- 使用Neo4j构建一个GC知识图 (KG),包含207个节点和300个关系.
- 使用图形嵌入算法 (Node2Vec,GraphSAGE) 开发GC-CDSS,并通过将其建议与MDT决策进行比较的回顾性队列研究进行验证.
主要成果:
- 开发了一种新的GC-CDSS,基于中国GC治疗指南知识图 (KG).
- 该KG包括207个节点和300个关系,定义了4个节点和4个关系类型.
- 与MDT决策相比,GC-CDSS表现出很高的性能,提供个性化的建议,一致性率为92.96%.
结论:
- 一个胃癌临床决策支持系统 (GC-CDSS) 基于知识图 (KG) 成功开发.
- 该GC-CDSS显示了提高瘤学家治疗决策的效率和标准化的潜力,特别是在初级卫生保健机构.
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