Detalhe da pesquisa
1.
dsMTL: a computational framework for privacy-preserving, distributed multi-task machine learning.
Bioinformatics
; 38(21): 4919-4926, 2022 10 31.
Artigo
Inglês
| MEDLINE | ID: mdl-36073911
2.
Orchestrating privacy-protected big data analyses of data from different resources with R and DataSHIELD.
PLoS Comput Biol
; 17(3): e1008880, 2021 03.
Artigo
Inglês
| MEDLINE | ID: mdl-33784300
3.
Data harmonization and federated analysis of population-based studies: the BioSHaRE project.
Emerg Themes Epidemiol
; 10(1): 12, 2013 Nov 21.
Artigo
Inglês
| MEDLINE | ID: mdl-24257327
4.
Life course of retrospective harmonization initiatives: key elements to consider.
J Dev Orig Health Dis
; 14(2): 190-198, 2023 04.
Artigo
Inglês
| MEDLINE | ID: mdl-35957574
5.
Towards an Interoperable Ecosystem of Research Cohort and Real-world Data Catalogues Enabling Multi-center Studies.
Yearb Med Inform
; 31(1): 262-272, 2022 Aug.
Artigo
Inglês
| MEDLINE | ID: mdl-36463884
6.
Fostering population-based cohort data discovery: The Maelstrom Research cataloguing toolkit.
PLoS One
; 13(7): e0200926, 2018.
Artigo
Inglês
| MEDLINE | ID: mdl-30040866
7.
Software Application Profile: Opal and Mica: open-source software solutions for epidemiological data management, harmonization and dissemination.
Int J Epidemiol
; 46(5): 1372-1378, 2017 10 01.
Artigo
Inglês
| MEDLINE | ID: mdl-29025122
8.
Worldwide mapping of initiatives that integrate population cohorts.
Front Public Health
; 10: 964086, 2022.
Artigo
Inglês
| MEDLINE | ID: mdl-36262229
9.
DataSHIELD: taking the analysis to the data, not the data to the analysis.
Int J Epidemiol
; 43(6): 1929-44, 2014 Dec.
Artigo
Inglês
| MEDLINE | ID: mdl-25261970