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BMC Medical Informatics and Decision Making

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Open Access 01-12-2024 | Diabetes | Research

Development and application of Chinese medical ontology for diabetes mellitus

Authors: Jie Hu, Zixian Huang, Xuewen Ge, Yulin Shen, Yihan Xu, Zirui Zhang, Guangyin Zhou, Junjie Wang, Shan Lu, Yun Yu, Cheng Wan, Xin Zhang, Ruochen Huang, Yun Liu, Gong Cheng

Published in: BMC Medical Informatics and Decision Making | Issue 1/2024

Abstract

Objective

To develop a Chinese Diabetes Mellitus Ontology (CDMO) and explore methods for constructing high-quality Chinese biomedical ontologies.

Materials and methods

We used various data sources, including Chinese clinical practice guidelines, expert consensus, literature, and hospital information system database schema, to build the CDMO. We combined top-down and bottom-up strategies and integrated text mining and cross-lingual ontology mapping. The ontology was validated by clinical experts and ontology development tools, and its application was validated through clinical decision support and Chinese natural language medical question answering.

Results

The current CDMO consists of 3,752 classes, 182 fine-grained object properties with hierarchical relationships, 108 annotation properties, and over 12,000 mappings to other well-known medical ontologies in English. Based on the CDMO and clinical practice guidelines, we developed 200 rules for diabetes diagnosis, treatment, diet, and medication recommendations using the Semantic Web Rule Language. By injecting ontology knowledge, CDMO enhances the performance of the T5 model on a real-world Chinese medical question answering dataset related to diabetes.

Conclusion

CDMO has fine-grained semantic relationships and extensive annotation information, providing a foundation for medical artificial intelligence applications in Chinese contexts, including the construction of medical knowledge graphs, clinical decision support systems, and automated medical question answering. Furthermore, the development process incorporated natural language processing and cross-lingual ontology mapping to improve the quality of the ontology and improved development efficiency. This workflow offers a methodological reference for the efficient development of other high-quality Chinese as well as non-English medical ontologies.

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Title: Development and application of Chinese medical ontology for diabetes mellitus
Authors: Jie Hu
Zixian Huang
Xuewen Ge
Yulin Shen
Yihan Xu
Zirui Zhang
Guangyin Zhou
Junjie Wang
Shan Lu
Yun Yu
Cheng Wan
Xin Zhang
Ruochen Huang
Yun Liu
Gong Cheng
Publication date: 01-12-2024
Publisher: BioMed Central
Keyword: Diabetes
Published in: BMC Medical Informatics and Decision Making / Issue 1/2024
Electronic ISSN: 1472-6947
DOI: https://doi.org/10.1186/s12911-023-02405-y

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Development and application of Chinese medical ontology for diabetes mellitus

Abstract

Objective

Materials and methods

Results

Conclusion

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Objective

Materials and methods

Results

Conclusion

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