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Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data

Journal of the American Medical Informatics Association : JAMIA, 2018-08, Vol.25 (8), p.969-975

2018

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Using the Data Quality Dashboard to Improve the EHDEN Network

Applied sciences, 2021-12, Vol.11 (24), p.11920

2021

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Adjusting for indirectly measured confounding using large-scale propensity score

Journal of biomedical informatics, 2022-10, Vol.134, p.104204, Article 104204

2022

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Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm

Journal of the American Medical Informatics Association : JAMIA, 2020-03, Vol.27 (3), p.376-385

2020

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Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND)

Journal of the American Medical Informatics Association : JAMIA, 2020-08, Vol.27 (8), p.1331-1337

2020

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dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling

Journal of the American Medical Informatics Association : JAMIA, 2022-05, Vol.29 (8), p.1366-1371

2022

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European Health Data & Evidence Network—learnings from building out a standardized international health data network

Journal of the American Medical Informatics Association : JAMIA, 2023-12, Vol.31 (1), p.209-219

2023

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Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study

Journal of the American Medical Informatics Association : JAMIA, 2020-08, Vol.27 (8), p.1268-1277

2020

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Learning from local to global: An efficient distributed algorithm for modeling time-to-event data

Journal of the American Medical Informatics Association : JAMIA, 2020-07, Vol.27 (7), p.1028-1036

2020

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A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data

Computer methods and programs in biomedicine, 2021-11, Vol.211, p.106394-106394, Article 106394

2021

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Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes

Journal of biomedical informatics, 2023-09, Vol.145, p.104476-104476, Article 104476

2023

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Literature-based concept profiles for gene annotation: The issue of weighting

International journal of medical informatics (Shannon, Ireland), 2008-05, Vol.77 (5), p.354-362

2008

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Evaluation of techniques for increasing recall in a dictionary approach to gene and protein name identification

Journal of biomedical informatics, 2007-06, Vol.40 (3), p.316-324

2007

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Feasibility and utility of applications of the common data model to multiple, disparate observational health databases

Journal of the American Medical Informatics Association : JAMIA, 2015-05, Vol.22 (3), p.553-564

2015

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Harmonization process for the identification of medical events in eight European healthcare databases: the experience from the EU-ADR project

Journal of the American Medical Informatics Association : JAMIA, 2013-01, Vol.20 (1), p.184-192

2013

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Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data

Using the Data Quality Dashboard to Improve the EHDEN Network

Adjusting for indirectly measured confounding using large-scale propensity score

Learning from electronic health records across multiple sites: A communication-efficient and privacy-preserving distributed algorithm

Principles of Large-scale Evidence Generation and Evaluation across a Network of Databases (LEGEND)

dPQL: a lossless distributed algorithm for generalized linear mixed model with application to privacy-preserving hospital profiling

European Health Data & Evidence Network—learnings from building out a standardized international health data network

Large-scale evidence generation and evaluation across a network of databases (LEGEND): assessing validity using hypertension as a case study

Learning from local to global: An efficient distributed algorithm for modeling time-to-event data

A standardized analytics pipeline for reliable and rapid development and validation of prediction models using observational health data

Padé approximant meets federated learning: A nearly lossless, one-shot algorithm for evidence synthesis in distributed research networks with rare outcomes

Literature-based concept profiles for gene annotation: The issue of weighting

Evaluation of techniques for increasing recall in a dictionary approach to gene and protein name identification

Feasibility and utility of applications of the common data model to multiple, disparate observational health databases

Harmonization process for the identification of medical events in eight European healthcare databases: the experience from the EU-ADR project

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