Core reference ontology for individualized exercise prescription
Abstract “Exercise is medicine” emphasizes personalized prescriptions for better efficacy. Current guidelines need more support for personalized prescriptions, posing scientific challenges. Facing those challenges, we gathered data from established guidelines, databases, and articles to develop the...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2024-12-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-04217-9 |
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| author | Xingyun Liu Yin Yang Hui Zong Ke Zhang Min Jiang Chunjiang Yu Yalan Chen Ting Bao Danting Li Jiao Wang Tong Tang Shumin Ren Juan M. Ruso Bairong Shen |
| author_facet | Xingyun Liu Yin Yang Hui Zong Ke Zhang Min Jiang Chunjiang Yu Yalan Chen Ting Bao Danting Li Jiao Wang Tong Tang Shumin Ren Juan M. Ruso Bairong Shen |
| author_sort | Xingyun Liu |
| collection | DOAJ |
| description | Abstract “Exercise is medicine” emphasizes personalized prescriptions for better efficacy. Current guidelines need more support for personalized prescriptions, posing scientific challenges. Facing those challenges, we gathered data from established guidelines, databases, and articles to develop the Exercise Medicine Ontology (EXMO), intending to offer comprehensive support for personalized exercise prescriptions. EXMO was constructed using the Ontology Development 101 methodology, incorporating Open Biological and Biomedical Ontology Foundry principles. EXMO v1.0 comprises 434 classes and 9,732 axioms, encompassing physical activity terms, health status terms, exercise prescription terms, and other related concepts. It has successfully undergone expert evaluation and consistency validation using the ELK and JFact reasoners. EXMO has the potential to provide a much-needed standard for individualized exercise prescription. Beyond prescription standardization, EXMO can also be an excellent tool for supporting databases and recommendation systems. In the future, it could serve as a valuable reference for developing sub-ontologies and facilitating the formation of an ontology network. |
| format | Article |
| id | doaj-art-9cba528dc09b46e1b421cc68f5ff0e35 |
| institution | OA Journals |
| issn | 2052-4463 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-9cba528dc09b46e1b421cc68f5ff0e352025-08-20T01:59:43ZengNature PortfolioScientific Data2052-44632024-12-011111810.1038/s41597-024-04217-9Core reference ontology for individualized exercise prescriptionXingyun Liu0Yin Yang1Hui Zong2Ke Zhang3Min Jiang4Chunjiang Yu5Yalan Chen6Ting Bao7Danting Li8Jiao Wang9Tong Tang10Shumin Ren11Juan M. Ruso12Bairong Shen13Health Management Center, General Practice Medical Center and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan UniversityHealth Management Center, General Practice Medical Center and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan UniversityHealth Management Center, General Practice Medical Center and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan UniversityHealth Management Center, General Practice Medical Center and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan UniversityHealth Management Center, General Practice Medical Center and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan UniversitySchool of Artificial Intelligence, Suzhou Industrial Park Institute of Services OutsourcingDepartment of Medical Informatics, School of Medicine, Nantong UniversityHealth Management Center, General Practice Medical Center, West China Hospital, Sichuan UniversityHealth Management Center, General Practice Medical Center, West China Hospital, Sichuan UniversityHealth Management Center, General Practice Medical Center and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan UniversityHealth Management Center, General Practice Medical Center and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan UniversityHealth Management Center, General Practice Medical Center and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan UniversitySoft Matter and Molecular Biophysics Group, Department of Applied Physics and Institute of Materials (iMATUS), University of Santiago de CompostelaHealth Management Center, General Practice Medical Center and Institutes for Systems Genetics, Frontiers Science Center for Disease-related Molecular Network, West China Hospital, Sichuan UniversityAbstract “Exercise is medicine” emphasizes personalized prescriptions for better efficacy. Current guidelines need more support for personalized prescriptions, posing scientific challenges. Facing those challenges, we gathered data from established guidelines, databases, and articles to develop the Exercise Medicine Ontology (EXMO), intending to offer comprehensive support for personalized exercise prescriptions. EXMO was constructed using the Ontology Development 101 methodology, incorporating Open Biological and Biomedical Ontology Foundry principles. EXMO v1.0 comprises 434 classes and 9,732 axioms, encompassing physical activity terms, health status terms, exercise prescription terms, and other related concepts. It has successfully undergone expert evaluation and consistency validation using the ELK and JFact reasoners. EXMO has the potential to provide a much-needed standard for individualized exercise prescription. Beyond prescription standardization, EXMO can also be an excellent tool for supporting databases and recommendation systems. In the future, it could serve as a valuable reference for developing sub-ontologies and facilitating the formation of an ontology network.https://doi.org/10.1038/s41597-024-04217-9 |
| spellingShingle | Xingyun Liu Yin Yang Hui Zong Ke Zhang Min Jiang Chunjiang Yu Yalan Chen Ting Bao Danting Li Jiao Wang Tong Tang Shumin Ren Juan M. Ruso Bairong Shen Core reference ontology for individualized exercise prescription Scientific Data |
| title | Core reference ontology for individualized exercise prescription |
| title_full | Core reference ontology for individualized exercise prescription |
| title_fullStr | Core reference ontology for individualized exercise prescription |
| title_full_unstemmed | Core reference ontology for individualized exercise prescription |
| title_short | Core reference ontology for individualized exercise prescription |
| title_sort | core reference ontology for individualized exercise prescription |
| url | https://doi.org/10.1038/s41597-024-04217-9 |
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