SCOR: A secure international informatics infrastructure to investigate COVID-19
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Raisaro, J. L. | - |
dc.contributor.author | Marino, Francesco | - |
dc.contributor.author | Troncoso-Pastoriza, Juan | - |
dc.contributor.author | Beau-Lejdstrom, Raphaelle | - |
dc.contributor.author | Bellazzi, Riccardo | - |
dc.contributor.author | Murphy, Robert | - |
dc.contributor.author | Bernstam, Elmer, V | - |
dc.contributor.author | Wang, Henry | - |
dc.contributor.author | Bucalo, Mauro | - |
dc.contributor.author | Chen, Yong | - |
dc.contributor.author | Gottlieb, Assaf | - |
dc.contributor.author | Harmanci, Arif | - |
dc.contributor.author | Kim, Miran | - |
dc.contributor.author | Kim, Yejin | - |
dc.contributor.author | Klann, Jeffrey | - |
dc.contributor.author | Klersy, Catherine | - |
dc.contributor.author | Malin, Bradley A. | - |
dc.contributor.author | Mean, Marie | - |
dc.contributor.author | Prasser, Fabian | - |
dc.contributor.author | Scudeller, Luigia | - |
dc.contributor.author | Torkamani, Ali | - |
dc.contributor.author | Vaucher, Julien | - |
dc.contributor.author | Puppala, Mamta | - |
dc.contributor.author | Wong, Stephen T. C. | - |
dc.contributor.author | Frenkel-Morgenstern, Milana | - |
dc.contributor.author | Xu, Hua | - |
dc.contributor.author | Musa, Maiyaki | - |
dc.contributor.author | Habib, Abdulrazaq G. | - |
dc.contributor.author | Cohen, Trevor | - |
dc.contributor.author | Wilcox, Adam | - |
dc.contributor.author | Salihu, Hamisu M. | - |
dc.contributor.author | Sofia, Heidi | - |
dc.contributor.author | Jiang, Xiaoqian | - |
dc.contributor.author | Hubaux, J. P. | - |
dc.date.accessioned | 2023-09-04T07:18:02Z | - |
dc.date.available | 2023-09-04T07:18:02Z | - |
dc.date.created | 2023-07-21 | - |
dc.date.issued | 2020-11 | - |
dc.identifier.issn | 1067-5027 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/189725 | - |
dc.description.abstract | Global pandemics call for large and diverse healthcare data to study various risk factors, treatment options, and disease progression patterns. Despite the enormous efforts of many large data consortium initiatives, scientific community still lacks a secure and privacy-preserving infrastructure to support auditable data sharing and facilitate automated and legally compliant federated analysis on an international scale. Existing health informatics systems do not incorporate the latest progress in modern security and federated machine learning algorithms, which are poised to offer solutions. An international group of passionate researchers came together with a joint mission to solve the problem with our finest models and tools. The SCOR Consortium has developed a ready-to-deploy secure infrastructure using world-class privacy and security technologies to reconcile the privacy/utility conflicts. We hope our effort will make a change and accelerate research in future pandemics with broad and diverse samples on an international scale. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | OXFORD UNIV PRESS | - |
dc.title | SCOR: A secure international informatics infrastructure to investigate COVID-19 | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Miran | - |
dc.identifier.doi | 10.1093/jamia/ocaa172 | - |
dc.identifier.scopusid | 2-s2.0-85089117172 | - |
dc.identifier.wosid | 000594986600012 | - |
dc.identifier.bibliographicCitation | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, v.27, no.11, pp.1721 - 1726 | - |
dc.relation.isPartOf | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | - |
dc.citation.title | JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | - |
dc.citation.volume | 27 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 1721 | - |
dc.citation.endPage | 1726 | - |
dc.type.rims | ART | - |
dc.type.docType | 정기학술지(Article(Perspective Article포함)) | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | Y | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | ssci | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer ScienceHealth Care Sciences & ServicesInformation Science & Library ScienceMedical Informatics | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Information SystemsComputer Science, Interdisciplinary ApplicationsHealth Care Sciences & ServicesInformation Science & Library ScienceMedical Informatics | - |
dc.subject.keywordAuthor | healthcare privacy | - |
dc.subject.keywordAuthor | federated learning | - |
dc.subject.keywordAuthor | COVID-19 | - |
dc.subject.keywordAuthor | international consortium | - |
dc.subject.keywordAuthor | secure data analysis | - |
dc.identifier.url | https://academic.oup.com/jamia/article/27/11/1721/5869802 | - |
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