Leveraging Representation Learning for the Construction and Application of a Knowledge Graph for Traditional Chinese Medicine: Framework Development Study.
JMIR Medical Informatics(2022)
摘要
Experiments showed that the clinical KG representation learning and application framework is effective for knowledge discovery and decision-making assistance in diagnosis and treatment. Our framework shows superiority of application prospects in tasks such as KG-fused multimodal information diagnosis, KGE-based text classification, and knowledge inference-based medical question answering.
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关键词
clinical,framework,knowledge discovery,knowledge embedding,knowledge graph,medicine,traditional Chinese medicine
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