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Data Analysis and Knowledge Discovery  2020, Vol. 4 Issue (12): 26-32    DOI: 10.11925/infotech.2096-3467.2020.0953
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A Review of Medical Decision Supports Based on Knowledge Graph
Zhu Chaoyu,Liu Lei()
Shanghai Medical College, Fudan University, Shanghai 200032, China
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[Objective] This paper systematically reviews the supporting applications for medical decisions based on knowledge graphs, aiming to expand similar interdisciplinary research. [Coverage] A total of 39 articles were retrieved from computer science conferences, as well as Web of Science with keywords of “knowledge graph reasoning” and “medical decision support”. [Methods] We reviewed the developments of medical decision support, from the perspectives of traditional and evidence-based medicine, as well as the computer and knowledge graph assisted systems. [Results] The medicine knowledge graph and reasoning significantly changed medical decision support systems, which also alleviated stress facing physicians, improved diagnosis efficiency, and reduced misdiagnosis. [Limitations] This article did not provide in-depth analysis of the reviewed models. [Conclusions] Medical knowledge graph is the “brain” of clinical decision support system, and knowledge graph reasoning helps the brain utilize relevant knowledge. We need to construct more comprehensive medical knowledge graphs, and improve their reasoning algorithms.

Key wordsKnowledge Graph Reasoning      Medical Decision Support      Clinical Decision Support System     
Received: 27 September 2020      Published: 25 December 2020
ZTFLH:  TP399  
Corresponding Authors: Liu Lei     E-mail:

Cite this article:

Zhu Chaoyu, Liu Lei. A Review of Medical Decision Supports Based on Knowledge Graph. Data Analysis and Knowledge Discovery, 2020, 4(12): 26-32.

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Biomedical Entity Knowledge Graph Diagram[30]
Dual Drive Clinical Decision Support Platform Structure Diagram[33]
Knowledge Graph Assisted Pulmonary Imaging Diagnosis System Structure Diagram
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