# A Knowledge Graph Embedding Model Based on Cyclic Consistency--Cyclic CKGE
## 6 Conclusions
### The Future Development Direction of Medical Knowledge Graph  
The medical knowledge map constructed in this paper realizes the function of extracting medical knowledge from massive data. It is of great significance to the modern medical industry to manage, share and apply it reasonably and effectively, and it is also a hot issue in many enterprises and scientific research institutions. With the continuous improvement in related technologies in the field of a knowledge graph, it has become an inevitable trend to develop the combination of knowledge graph construction technology and medicine. The development direction of a medical knowledge map in the future should reflect the following aspects.  
(1) Construct multilingual medical knowledge map  
Medical research between countries is an important condition for the progress of the world medical cause, and it is also an inherent requirement to promote the globalization and diversity of medical knowledge. Therefore, the multilingual medical knowledge map is very important to realize the interaction and sharing of medical knowledge among countries. In this era of deepening knowledge globalization, strengthening the exchange of medical knowledge and culture between China and foreign countries has become an indispensable link in China's modernization. China and foreign countries can benefit each other. Therefore, the construction of a multilingual medical knowledge map may become an important trend in the future development of the medical field.  
(2) Construct a dynamic medical knowledge map  
Regarding patients, from disease to curing this process, the clinical symptoms are not static. With the continuous advancement of the treatment process, the patient's condition should be improved, or the treatment does not work, so the diagnosis and treatment is a dynamic process. However, the knowledge graph constructed in this paper is static. Building a dynamic knowledge graph is the way forward. By constructing a dynamic knowledge graph, medical guidance and drug recommendation for patients can be more accurate. This further improves the accuracy of the entire medical system and effectively improves the user experience.  
(3) Construct a multi-modal fusion medical knowledge base  
At present, there is a problem of confidentiality of medical data, and the academic exchanges of various medical units are not transparent and not open. Due to the influence of many factors, the existing medical knowledge is limited in scale, which is mainly represented by text and graphic data. But the form of information is not single, for example, in the sound, image, photo and other aspects, there is also a considerable amount of medical information. So, the establishment of multi-modal fusion of a medical knowledge base can make full use of various forms of medical knowledge. This has a profound and broad impact on promoting the construction of a medical career.  
Conceptualization, [PERSON] and Z.G.; methodology, J.L.; software, J.L.; validation, J.L., Z.G. and J.M.; formal analysis, [PERSON]; investigation, J.H.; resources, Z.G.; data curation, J.L.; writing--original draft preparation, [PERSON]; writing--review and editing, [PERSON]; visualization, J.M.;supervision, [PERSON]; project administration, X.M.; funding acquisition, J.M. All authors have read and agreed to the published version of the manuscript.
* This research was funded by the National Natural Science Foundation of China, grant number: 62365016. This research was funded by the Central Government supported Local Special Fund Project of China, grant number: 2023 FRD05034.
* Not applicable.
* Data availability Statement: Data are contained within the article.
* The authors declare no conflict of interest.