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Medical Knowledge Graph (MKG) is the basis for intelligent health care, and it has been in use in a variety of intelligent medical applications. Thus, understanding the research and application development of MKG will be crucial for future relevant research in the biomedical field. To this end, we offer an in-depth review of MKG in this work. Our research begins with an examination of four types of medical information sources, knowledge graph creation methodologies, and six major themes for MKG development. Furthermore, three popular models of reasoning from the viewpoint of knowledge reasoning are discussed. A reasoning implementation path (RIP) is proposed as a means of expressing reasoning procedures on MKG. In addition, we explore intelligent medical applications based on RIP and MKG and classify them into nine major types based upon their application context. Last but not least, we summarize the current state of MKG research, based on more than 130 publications, as well as future challenges and opportunities.

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Available online: 11 July 2022

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© The Author(s) 2022

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The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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