KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning

被引:0
|
作者
Yang An
Haocheng Tang
Bo Jin
Yi Xu
Xiaopeng Wei
机构
[1] North University of China,School of Software
[2] Institute of Automation Chinese Academy of Sciences,School of Innovation and Entrepreneurship
[3] Dalian University of Technology,School of Computer Science and Technology
[4] Dalian University of Technology,undefined
关键词
Electronic medical records; Medication prediction; Intelligent healthcare system; Multi-source medical knowledge; Graph contrastive learning;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] KAMPNet: multi-source medical knowledge augmented medication prediction network with multi-level graph contrastive learning
    An, Yang
    Tang, Haocheng
    Jin, Bo
    Xu, Yi
    Wei, Xiaopeng
    [J]. BMC MEDICAL INFORMATICS AND DECISION MAKING, 2023, 23 (01)
  • [2] Multi-level graph contrastive learning
    Shao, Pengpeng
    Tao, Jianhua
    [J]. NEUROCOMPUTING, 2024, 570
  • [3] Multi-level contrastive graph learning for academic abnormality prediction
    Yong Ouyang
    Yuanlin Wang
    Rong Gao
    Yawen Zeng
    Jinhang Liu
    Zhiwei Ye
    [J]. Neural Computing and Applications, 2024, 36 : 3681 - 3698
  • [4] Multi-level contrastive graph learning for academic abnormality prediction
    Ouyang, Yong
    Wang, Yuanlin
    Gao, Rong
    Zeng, Yawen
    Liu, Jinhang
    Ye, Zhiwei
    [J]. NEURAL COMPUTING & APPLICATIONS, 2024, 36 (07): : 3681 - 3698
  • [5] Multi-Level Knowledge-Aware Contrastive Learning Network for Personalized Recipe Recommendation
    Bai, Zijian
    Huang, Yinfeng
    Zhang, Suzhi
    Li, Pu
    Chang, Yuanyuan
    Lin, Xiang
    [J]. APPLIED SCIENCES-BASEL, 2022, 12 (24):
  • [6] Multi-level Graph Contrastive Prototypical Clustering
    Zhang, Yuchao
    Yuan, Yuan
    Wang, Qi
    [J]. PROCEEDINGS OF THE THIRTY-SECOND INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE, IJCAI 2023, 2023, : 4611 - 4619
  • [7] Multi-source information contrastive learning collaborative augmented conversational recommender systems
    Liu, Huaiyu
    Cao, Qiong
    Huang, Xianying
    Liu, Fengjin
    Zhang, Chengyang
    An, Jiahao
    [J]. COMPLEX & INTELLIGENT SYSTEMS, 2024, 10 (04) : 5529 - 5543
  • [8] A multi-level feature attention network for COVID-19 detection based on multi-source medical images
    Zhao, Aite
    Wu, Huimin
    Chen, Ming
    Wang, Nana
    [J]. MULTIMEDIA TOOLS AND APPLICATIONS, 2024, 83 (27) : 70419 - 70450
  • [9] Multi-level Shared Knowledge Guided Learning for Knowledge Graph Completion
    Shan, Yongxue
    Zhou, Jie
    Peng, Jie
    Zhou, Xin
    Yin, Jiaqian
    Wang, Xiaodong
    [J]. TRANSACTIONS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, 2024, 12 : 1027 - 1042
  • [10] Multi-Source Knowledge Reasoning Graph Network for Multi-Modal Commonsense Inference
    Ma, Xuan
    Yang, Xiaoshan
    Xu, Changsheng
    [J]. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2023, 19 (04)