SCOR: A secure international informatics infrastructure to investigate COVID-19

被引：22

作者：

Raisaro, J. L. ^{[1
,2
]}

Marino, Francesco ^{[3
]}

Troncoso-Pastoriza, Juan ^{[3
]}

Beau-Lejdstrom, Raphaelle ^{[4
]}

Bellazzi, Riccardo ^{[5
,6
]}

Murphy, Robert ^{[7
]}

Bernstam, Elmer, V ^{[7
,8
]}

Wang, Henry ^{[9
]}

Bucalo, Mauro ^{[10
]}

Chen, Yong ^{[11
]}

Gottlieb, Assaf ^{[7
]}

Harmanci, Arif ^{[7
]}

Kim, Miran ^{[7
]}

Kim, Yejin ^{[7
]}

Klann, Jeffrey ^{[12
]}

Klersy, Catherine ^{[13
]}

Malin, Bradley A. ^{[14
]}

Mean, Marie ^{[15
]}

Prasser, Fabian ^{[16
,17
]}

Scudeller, Luigia ^{[18
]}

Torkamani, Ali ^{[19
]}

Vaucher, Julien ^{[15
]}

Puppala, Mamta ^{[20
]}

Wong, Stephen T. C. ^{[20
]}

Frenkel-Morgenstern, Milana ^{[21
]}

Xu, Hua ^{[7
]}

Musa, Maiyaki ^{[22
]}

Habib, Abdulrazaq G. ^{[22
]}

Cohen, Trevor ^{[23
]}

Wilcox, Adam ^{[23
]}

Salihu, Hamisu M. ^{[24
]}

Sofia, Heidi ^{[25
]}

Jiang, Xiaoqian ^{[7
]}

Hubaux, J. P. ^{[3
]}

机构：

[1] Lausanne Univ Hosp, Data Sci Grp, Lausanne, Switzerland

[2] Lausanne Univ Hosp, Precis Med Unit, Lausanne, Switzerland

[3] Ecole Polytech Fed Lausanne, Lab Data Secur, Lausanne, Switzerland

[4] Univ Geneva, Inst Global Hlth, Geneva, Switzerland

[5] Univ Pavia, Dept Elect Comp & Biomed Engn, Pavia, Italy

[6] IRCCS ICS Maugeri, Pavia, Italy

[7] UTHealth, Sch Biomed Informat, 7000 Fannin St 600, Houston, TX 77030 USA

[8] UTHealth, Dept Internal Med, Div Gen Internal Med, McGovern Sch Med, Houston, TX USA

[9] UTHealth, Dept Emergency Med, McGovern Sch Med, Houston, TX USA

[10] BIOMERIS Srl, Pavia, Italy

[11] Univ Penn, Perelman Sch Med, Dept Biostat Epidemiol & Informat, Philadelphia, PA USA

[12] Massachusetts Gen Hosp, Lab Comp Sci, Boston, MA 02114 USA

[13] Fdn IRCCS Policlin San Matteo, Biometry & Clin Epidemiol Serv, Pavia, Italy

[14] Vanderbilt Univ, Med Ctr, Dept Biomed Informat, Nashville, TN USA

[15] Lausanne Univ Hosp, Dept Internal Med, Lausanne, Switzerland

[16] Berlin Inst Hlth, Med Informat Grp, Berlin, Germany

[17] Charite Univ Med Berlin, Berlin, Germany

[18] Fdn IRCCS Ca Grande Osped Maggiore Policlin, Clin Epidemiol & Biostat, Sci Direct, Milan, Italy

[19] Scripps Res, Dept Integrat Struct & Computat Biol, La Jolla, CA USA

[20] Weill Cornell Med Coll, Houston Methodist Canc Ctr, Dept Syst Med & Bioengn, Houston, TX USA

[21] Bar Ilan Univ, Azrieli Fac Med, Canc Genom & BioComp Complex Dis Lab, Safed, Israel

[22] Bayero Univ, Africa Ctr Excellence Populat Hlth & Policy, Dept Med, Kano, Nigeria

[23] Univ Washington, Biomed Informat & Med Educ, Seattle, WA 98195 USA

[24] Baylor Coll Med, Dept Family & Community Med, Houston, TX USA

[25] NHGRI, NIH, Bethesda, MD 20892 USA

来源：

JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION | 2020年 / 27卷 / 11期

关键词：

healthcare privacy; federated learning; COVID-19; international consortium; secure data analysis;

D O I：

10.1093/jamia/ocaa172

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：1721 / 1726

页数：6

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