NSTRI Global Collaborative Research Data Platform
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...
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| creator | Lee, Hyeonhoon Kim, Hanseul Cho, Kyungmin Lee, Hyung-Chul |
| description | 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. |
| doi_str_mv | 10.48550/arxiv.2412.04474 |
| format | Article |
| fullrecord | <record><control><sourceid>arxiv_GOX</sourceid><recordid>TN_cdi_arxiv_primary_2412_04474</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2412_04474</sourcerecordid><originalsourceid>FETCH-arxiv_primary_2412_044743</originalsourceid><addsrcrecordid>eNpjYJA0NNAzsTA1NdBPLKrILNMzMjE00jMwMTE34WQw9AsOCfJUcM_JT0rMUXDOz8lJTMovSizJLEtVCEotTk0sSs5QcEksSVQIyEksScsvyuVhYE1LzClO5YXS3Azybq4hzh66YMPjC4oycxOLKuNBlsSDLTEmrAIAKHYwbQ</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>NSTRI Global Collaborative Research Data Platform</title><source>arXiv.org</source><creator>Lee, Hyeonhoon ; Kim, Hanseul ; Cho, Kyungmin ; Lee, Hyung-Chul</creator><creatorcontrib>Lee, Hyeonhoon ; Kim, Hanseul ; Cho, Kyungmin ; Lee, Hyung-Chul</creatorcontrib><description>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.</description><identifier>DOI: 10.48550/arxiv.2412.04474</identifier><language>eng</language><subject>Computer Science - Computers and Society ; Computer Science - Information Retrieval</subject><creationdate>2024-11</creationdate><rights>http://creativecommons.org/licenses/by/4.0</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>228,230,780,885</link.rule.ids><linktorsrc>$$Uhttps://arxiv.org/abs/2412.04474$$EView_record_in_Cornell_University$$FView_record_in_$$GCornell_University$$Hfree_for_read</linktorsrc><backlink>$$Uhttps://doi.org/10.48550/arXiv.2412.04474$$DView paper in arXiv$$Hfree_for_read</backlink></links><search><creatorcontrib>Lee, Hyeonhoon</creatorcontrib><creatorcontrib>Kim, Hanseul</creatorcontrib><creatorcontrib>Cho, Kyungmin</creatorcontrib><creatorcontrib>Lee, Hyung-Chul</creatorcontrib><title>NSTRI Global Collaborative Research Data Platform</title><description>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.</description><subject>Computer Science - Computers and Society</subject><subject>Computer Science - Information Retrieval</subject><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>GOX</sourceid><recordid>eNpjYJA0NNAzsTA1NdBPLKrILNMzMjE00jMwMTE34WQw9AsOCfJUcM_JT0rMUXDOz8lJTMovSizJLEtVCEotTk0sSs5QcEksSVQIyEksScsvyuVhYE1LzClO5YXS3Azybq4hzh66YMPjC4oycxOLKuNBlsSDLTEmrAIAKHYwbQ</recordid><startdate>20241115</startdate><enddate>20241115</enddate><creator>Lee, Hyeonhoon</creator><creator>Kim, Hanseul</creator><creator>Cho, Kyungmin</creator><creator>Lee, Hyung-Chul</creator><scope>AKY</scope><scope>GOX</scope></search><sort><creationdate>20241115</creationdate><title>NSTRI Global Collaborative Research Data Platform</title><author>Lee, Hyeonhoon ; Kim, Hanseul ; Cho, Kyungmin ; Lee, Hyung-Chul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-arxiv_primary_2412_044743</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Computer Science - Computers and Society</topic><topic>Computer Science - Information Retrieval</topic><toplevel>online_resources</toplevel><creatorcontrib>Lee, Hyeonhoon</creatorcontrib><creatorcontrib>Kim, Hanseul</creatorcontrib><creatorcontrib>Cho, Kyungmin</creatorcontrib><creatorcontrib>Lee, Hyung-Chul</creatorcontrib><collection>arXiv Computer Science</collection><collection>arXiv.org</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lee, Hyeonhoon</au><au>Kim, Hanseul</au><au>Cho, Kyungmin</au><au>Lee, Hyung-Chul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>NSTRI Global Collaborative Research Data Platform</atitle><date>2024-11-15</date><risdate>2024</risdate><abstract>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.</abstract><doi>10.48550/arxiv.2412.04474</doi><oa>free_for_read</oa></addata></record> |
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| identifier | DOI: 10.48550/arxiv.2412.04474 |
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| subjects | Computer Science - Computers and Society Computer Science - Information Retrieval |
| title | NSTRI Global Collaborative Research Data Platform |
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