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Updated: Jan 30, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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IKDP:隐式知识增强疾病预测通过异质的入院序列图表

Zongbao Yang1, Yuchen Lin2, Yichen He2

  • 1Guangdong Provincial Key Laboratory of Multimodal Big Data Intelligent Analysis, School of Computer Science and Engineering, South China University of Technology, 381 Wushan Road, Tianhe District, 510641, China; Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, No. 1068 Xueyuan Avenue, Nanshan District, 518055, China.

Artificial intelligence in medicine
|January 28, 2026
PubMed
概括

这项研究引入了隐性知识增强疾病预测模型 (IKDP),以改进电子健康记录 (EHR) 分析. 通过使用隐性患者数据和入院序列,IKDP更好地代表了患者的疾病轨迹.

关键词:
疾病预测 疾病预测不同质的入院序列图表.隐含的知识 隐含的知识类似的患者.

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