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The All of Us Research Program: Data quality, utility, and diversity., , , , , , , , , and 38 other author(s). Patterns, 3 (8): 100570 (2022)Automatic Prediction of Rheumatoid Arthritis Disease Activity from the Electronic Medical Records., , , , , , , , , and 2 other author(s). AMIA, AMIA, (2013)Screening pregnant women for suicidal behavior in electronic medical records: diagnostic codes vs. clinical notes processed by natural language processing., , , , , , , and . BMC Medical Informatics Decis. Mak., 18 (1): 30:1-30:11 (2018)A framework for employing longitudinally collected multicenter electronic health records to stratify heterogeneous patient populations on disease history., , , , , , , , , and 1 other author(s). J. Am. Medical Informatics Assoc., 29 (5): 761-769 (2022)Medical records-based chronic kidney disease phenotype for clinical care and "big data" observational and genetic studies., , , , , , , , , and 23 other author(s). npj Digit. Medicine, (2021)Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network., , , , , , , , , and 15 other author(s). AMIA, AMIA, (2021)Automatic identification of methotrexate-induced liver toxicity in patients with rheumatoid arthritis from the electronic medical record., , , , , , , , , and 1 other author(s). J. Am. Medical Informatics Assoc., 22 (e1): e151-e161 (2015)Portability of an algorithm to identify rheumatoid arthritis in electronic health records., , , , , , , , , and 10 other author(s). J. Am. Medical Informatics Assoc., (2012)Demonstrating the Advantages of Applying Data Mining Techniques on Time-Dependent Electronic Medical Records., , , , , , , , , and 8 other author(s). AMIA, AMIA, (2015)