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SCOR: A secure international informatics infrastructure to investigate COVID-19
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 s...
Autores principales: | Raisaro, J L, Marino, Francesco, Troncoso-Pastoriza, Juan, Beau-Lejdstrom, Raphaelle, Bellazzi, Riccardo, Murphy, Robert, Bernstam, Elmer V, Wang, Henry, Bucalo, Mauro, Chen, Yong, Gottlieb, Assaf, Harmanci, Arif, Kim, Miran, Kim, Yejin, Klann, Jeffrey, Klersy, Catherine, Malin, Bradley A, Méan, Marie, Prasser, Fabian, Scudeller, Luigia, Torkamani, Ali, Vaucher, Julien, Puppala, Mamta, Wong, Stephen T C, Frenkel-Morgenstern, Milana, Xu, Hua, Musa, Baba Maiyaki, Habib, Abdulrazaq G, Cohen, Trevor, Wilcox, Adam, Salihu, Hamisu M, Sofia, Heidi, Jiang, Xiaoqian, Hubaux, J P |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7454652/ https://www.ncbi.nlm.nih.gov/pubmed/32918447 http://dx.doi.org/10.1093/jamia/ocaa172 |
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