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Detecting time-evolving phenotypic topics via tensor factorization on electronic health records: Cardiovascular disease case study., , , , , , , , , and . J. Biomed. Informatics, (2019)Comparing Effect Sizes in Covid Positive Phenomic Profiles., , , , , , , , , and 2 other author(s). AMIA, AMIA, (2022)The All of Us Research Program Researcher Workbench Phenotype Library: Five Disease Implementations., , , , , , , , , and 4 other author(s). AMIA, AMIA, (2020)Impact of COVID-19 on mental health outcomes in the All of Us Research Program., , , , , , , , and . AMIA, AMIA, (2022)The All of Us Research Program: Data quality, utility, and diversity., , , , , , , , , and 38 other author(s). Patterns, 3 (8): 100570 (2022)Systematic replication of smoking disease associations using survey responses and EHR data in the All of Us Research Program., , , , , , , , , and 6 other author(s). J. Am. Medical Informatics Assoc., 31 (1): 139-153 (December 2023)Comparing the Phenomic Profile of All of Us Research Program and National COVID Cohort Collaborative., , , , , and . AMIA, AMIA, (2021)Systematic replication of smoking disease associations in the All of Us Research Program., , , , , , , , , and 1 other author(s). AMIA, AMIA, (2021)