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An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records.

, , , , , , , , , , , and . J. Biomed. Informatics, 43 (6): 914-923 (2010)

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Replication of SCN5A Associations with Electrocardiographic Traits in African Americans from Clinical and Epidemiologic Studies., , , , , , , , , and 11 other author(s). EvoApplications, volume 8602 of Lecture Notes in Computer Science, page 939-951. Springer, (2014)Empowering the biomedical research community: Innovative SAS deployment on the All of Us Researcher Workbench., , , , , , , , , and 19 other author(s). J. Am. Medical Informatics Assoc., 31 (12): 2994-3000 (2024)Managing re-identification risks while providing access to the All of Us research program., , , , , , , , , and 1 other author(s). J. Am. Medical Informatics Assoc., 30 (5): 907-914 (April 2023)PheWAS: demonstrating the feasibility of a phenome-wide scan to discover gene-disease associations., , , , , , , , , and . Bioinform., 26 (9): 1205-1210 (2010)The All of Us Research Program: Data quality, utility, and diversity., , , , , , , , , and 38 other author(s). Patterns, 3 (8): 100570 (2022)The All of Us Research Program Researcher Workbench: Cloud based access and analytics to advance precision medicine., , , , , , , , and . AMIA, AMIA, (2020)Data from the All of Us research program reinforces existence of activity inequality., , , , , , , , and . npj Digit. Medicine, (2025)The All of Us Research Program Researcher Workbench Phenotype Library: Five Disease Implementations., , , , , , , , , and 4 other author(s). AMIA, AMIA, (2020)An analytical approach to characterize morbidity profile dissimilarity between distinct cohorts using electronic medical records., , , , , , , , , and 2 other author(s). J. Biomed. Informatics, 43 (6): 914-923 (2010)Brief communication: The Mid-South Clinical Data Research Network., , , , , , and . J. Am. Medical Informatics Assoc., 21 (4): 627-632 (2014)