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Development of Medical Imaging Data Standardization for Imaging-Based Observational Research: OMOP Common Data Model Extension
DC Field | Value | Language |
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dc.contributor.author | 유승찬 | - |
dc.date.accessioned | 2024-06-14T03:02:37Z | - |
dc.date.available | 2024-06-14T03:02:37Z | - |
dc.date.issued | 2024-04 | - |
dc.identifier.issn | 2948-2925 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/199775 | - |
dc.description.abstract | The rapid growth of artificial intelligence (AI) and deep learning techniques require access to large inter-institutional cohorts of data to enable the development of robust models, e.g., targeting the identification of disease biomarkers and quantifying disease progression and treatment efficacy. The Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) has been designed to accommodate a harmonized representation of observational healthcare data. This study proposes the Medical Imaging CDM (MI-CDM) extension, adding two new tables and two vocabularies to the OMOP CDM to address the structural and semantic requirements to support imaging research. The tables provide the capabilities of linking DICOM data sources as well as tracking the provenance of imaging features derived from those images. The implementation of the extension enables phenotype definitions using imaging features and expanding standardized computable imaging biomarkers. This proposal offers a comprehensive and unified approach for conducting imaging research and outcome studies utilizing imaging features. | - |
dc.description.statementOfResponsibility | open | - |
dc.language | English | - |
dc.publisher | Springer Nature | - |
dc.relation.isPartOf | JOURNAL OF IMAGING INFORMATICS IN MEDICINE | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.title | Development of Medical Imaging Data Standardization for Imaging-Based Observational Research: OMOP Common Data Model Extension | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) | - |
dc.contributor.googleauthor | Woo Yeon Park | - |
dc.contributor.googleauthor | Kyulee Jeon | - |
dc.contributor.googleauthor | Teri Sippel Schmidt | - |
dc.contributor.googleauthor | Haridimos Kondylakis | - |
dc.contributor.googleauthor | Tarik Alkasab | - |
dc.contributor.googleauthor | Blake E Dewey | - |
dc.contributor.googleauthor | Seng Chan You | - |
dc.contributor.googleauthor | Paul Nagy | - |
dc.identifier.doi | 10.1007/s10278-024-00982-6 | - |
dc.contributor.localId | A02478 | - |
dc.relation.journalcode | J04610 | - |
dc.identifier.eissn | 2948-2933 | - |
dc.identifier.pmid | 38315345 | - |
dc.subject.keyword | Data collection [MeSH] | - |
dc.subject.keyword | Data integration | - |
dc.subject.keyword | Data standardization | - |
dc.subject.keyword | Multimodal data analysis | - |
dc.subject.keyword | Observational research | - |
dc.contributor.alternativeName | You, Seng Chan | - |
dc.contributor.affiliatedAuthor | 유승찬 | - |
dc.citation.volume | 37 | - |
dc.citation.number | 2 | - |
dc.citation.startPage | 899 | - |
dc.citation.endPage | 908 | - |
dc.identifier.bibliographicCitation | JOURNAL OF IMAGING INFORMATICS IN MEDICINE, Vol.37(2) : 899-908, 2024-04 | - |
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