A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research

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

Publikováno v: Journal of the American Medical Informatics Association : JAMIA, vol 22, iss 6
Journal of the American Medical Informatics Association : JAMIA
Meeker, D; Jiang, X; Matheny, ME; Farcas, C; D'Arcy, M; Pearlman, L; et al.(2015). A system to build distributed multivariate models and manage disparate data sharing policies: Implementation in the scalable national network for effectiveness research. Journal of the American Medical Informatics Association, 22(6), 1187-1195. doi: 10.1093/jamia/ocv017. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/82p1b28k
Meeker, Daniella; Jiang, Xiaoqian; Matheny, Michael E; Farcas, Claudiu; D'Arcy, Michel; Pearlman, Laura; et al.(2015). A system to build distributed multivariate models and manage disparate data sharing policies: implementation in the scalable national network for effectiveness research.. JAMIA, 22, 1187-1195. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/6kj7f634

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 author

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b3660bf98a96ef4685a54c75c374723
https://doi.org/10.1093/jamia/ocv017