NSTRI Global Collaborative Research Data Platform
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arXiv
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| Auteurs principaux: | , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866912146350145536 |
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| author | Lee, Hyeonhoon Kim, Hanseul Cho, Kyungmin Lee, Hyung-Chul |
| author_facet | Lee, Hyeonhoon Kim, Hanseul Cho, Kyungmin Lee, Hyung-Chul |
| contents | The National Strategic Technology Research Institute (NSTRI) Data Platform operated by Seoul National University Hospital (SNUH) addresses the challenge of accessing Korean healthcare data for international research. This platform provides secure access to pseudonymized Korean healthcare data while integrating international datasets, enabling the development of more equitable and generalizable machine learning models. The system features four key AI-powered components: an intelligent data search engine utilizing domain-specific medical embeddings, a Korean-English medical translation system, a comprehensive drug search engine, and an LLM-powered medical research assistant. The platform implements containerized environments within a secure research pod architecture, ensuring data protection while maintaining research efficiency. The platform currently provides access to 10 distinct medical datasets from SNUH, categorized by access permissions and standardized for cross-dataset analysis. This infrastructure enables global collaborative healthcare research while maintaining strict data protection standards. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_04474 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | NSTRI Global Collaborative Research Data Platform Lee, Hyeonhoon Kim, Hanseul Cho, Kyungmin Lee, Hyung-Chul Computers and Society Information Retrieval The National Strategic Technology Research Institute (NSTRI) Data Platform operated by Seoul National University Hospital (SNUH) addresses the challenge of accessing Korean healthcare data for international research. This platform provides secure access to pseudonymized Korean healthcare data while integrating international datasets, enabling the development of more equitable and generalizable machine learning models. The system features four key AI-powered components: an intelligent data search engine utilizing domain-specific medical embeddings, a Korean-English medical translation system, a comprehensive drug search engine, and an LLM-powered medical research assistant. The platform implements containerized environments within a secure research pod architecture, ensuring data protection while maintaining research efficiency. The platform currently provides access to 10 distinct medical datasets from SNUH, categorized by access permissions and standardized for cross-dataset analysis. This infrastructure enables global collaborative healthcare research while maintaining strict data protection standards. |
| title | NSTRI Global Collaborative Research Data Platform |
| topic | Computers and Society Information Retrieval |
| url | https://arxiv.org/abs/2412.04474 |