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Self-Supervised Learning Based on Graph Structural Clustering for Disease Diagnosis Method

Recently, graph self-supervised learning has been applied to disease diagnosis to alleviate the lack of medical labeling information and manual labeling problems. However, the performance of existing graph self-supervised learning heavily relies on high-quality positive and negative samples, which l...

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Hovedforfatter: Zhengkang ZHANG, Dan YANG, Tiezheng NIE, Yue KOU
Format: Artigo
Sprog:Inglês
Udgivet: Editorial Office of Computer Engineering 2024-07-01
Serier:Jisuanji gongcheng
Fag:
disease diagnosis|electronic medical records (emr)|graph self-supervised learning|graph neural network (gnn)|medical heterogeneous attributed graph
Online adgang:https://www.ecice06.com/fileup/1000-3428/PDF/20240737.pdf
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