liangjing, wenyi. Research on the Application of Knowledge Graph in Medical Aided Diagnosis. 2022. biomedRxiv.202109.00021
Research on the Application of Knowledge Graph in Medical Aided Diagnosis
Corresponding author: wenyi, wenyi@clas.ac.cn
DOI: 10.12201/bmr.202109.00021
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Abstract: The structure and relevance of the knowledge graph greatly improve the ability of knowledge sharing and utilization. Especially in the field of medical diagnosis where knowledge is rapidly updated, knowledge graph technology will well relieve the pressure of memory and analysis of clinicians. This article outlines the basic knowledge of the medical knowledge graph, summarizes the current status of construction from the content and technology, and discusses the main applications of knowledge graph in auxiliary medical diagnosis in recent years, including assisted imaging diagnosis, medical decision support, drug discovery and recommendation, personalized health services, and assistance in the prevention and control of large-scale infectious diseases. Finally, some problems in the current knowledge graph construction are put forward.
Key words: knowledge graph; medical diagnosis; auxiliary diagnosis; applicationSubmit time: 7 March 2022
Copyright: The copyright holder for this preprint is the author/funder, who has granted biomedRxiv a license to display the preprint in perpetuity. -
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