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Learning Across a Healthcare Data Network to Improve Model Robustness and Evidence Reliability.

, , , , и . AMIA, AMIA, (2019)

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Patrick D Ryan

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Challenges with quality of race and ethnicity data in observational databases., , , , , , , , , и . J. Am. Medical Informatics Assoc., 26 (8-9): 730-736 (2019)A standardized framework for risk-based assessment of treatment effect heterogeneity in observational healthcare databases., , , , , и . npj Digit. Medicine, (2023)Big Data for Healthcare and Life Sciences: Learning Useful Insights from Imperfect Data., , , , и . AMIA, AMIA, (2016)Phenotype Concept Set Construction from Concept Pair Likelihoods., , , , , , , , , и . AMIA, AMIA, (2020)Transforming NHANES Database to the OMOP Common Data Model., , , , и . AMIA, AMIA, (2014)Observational Health Data Sciences and Informatics (OHDSI): A Rapidly Growing International Network for Open Science and Data Analytics in Healthcare., , , , и . CRI, AMIA, (2016)The Applicability of an EHR Phenotype for Cohort Identification., , , и . CRI, AMIA, (2016)Design matters in patient-level prediction: evaluation of a cohort vs. case-control design when developing predictive models in observational healthcare datasets., , , и . J. Big Data, 8 (1): 108 (2021)Characterization and Comparison of Embedding Algorithms for Phenotyping across a Network of Observational Databases., , , , , , , , и . AMIA, AMIA, (2020)Phenotyping in distributed data networks: selecting the right codes for the right patients., , и . AMIA, AMIA, (2022)