Abstract

Background Centralized and federated models for sharing data in research networks currently exist. To build multivariate data analysis for centralized networks, transfer of patient-level data to a central computation resource is necessary. The authors implemented distributed multivariate models for federated networks in which patient-level data is kept at each site and data exchange policies are managed in a study-centric manner.
Objective The objective was to implement infrastructure that supports the functionality of some existing research networks (e.g., cohort discovery, workflow management, and estimation of multivariate analytic models on centralized data) while adding additional important new features, such as algorithms for distributed iterative multivariate models, a graphical interface for multivariate model specification, synchronous and asynchronous response to …

Metadata

publication

Journal of the American Medical Informatics Association 22 (6), 1187-1195, 2015

year

2015

publication date

2015/11/1

authors

Daniella Meeker, Xiaoqian Jiang, Michael E Matheny, Claudiu Farcas, Michel D’Arcy, Laura Pearlman, Lavanya Nookala, Michele E Day, Katherine K Kim, Hyeoneui Kim, Aziz Boxwala, Robert El-Kareh, Grace M Kuo, Frederic S Resnic, Carl Kesselman, Lucila Ohno-Machado

link

https://academic.oup.com/jamia/article-abstract/22/6/1187/2357576

resource_link

https://academic.oup.com/jamia/article/22/6/1187/2357576

journal

Journal of the American Medical Informatics Association

volume

22

issue

6

pages

1187-1195

publisher

Oxford University Press