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The machine giveth and the machine taketh away: a parrot attack on clinical text deidentified with hiding in plain sight., , , , , , and . J. Am. Medical Informatics Assoc., 26 (12): 1536-1544 (2019)Using natural language processing to identify problem usage of prescription opioids., , , , , , , and . Int. J. Medical Informatics, 84 (12): 1057-1064 (2015)Enrichment sampling for a multi-site patient survey using electronic health records and census data., , , , , , , , , and 10 other author(s). J. Am. Medical Informatics Assoc., 26 (3): 219-227 (2019)Development of a machine learning model to predict mild cognitive impairment using natural language processing in the absence of screening., , , , , , , , , and . BMC Medical Informatics Decis. Mak., 22 (1): 129 (2022)Facilitating phenotype transfer using a common data model., , , , , , , , , and 9 other author(s). J. Biomed. Informatics, (2019)PheKB: a catalog and workflow for creating electronic phenotype algorithms for transportability., , , , , , , , , and 8 other author(s). JAMIA, 23 (6): 1046-1052 (2016)Making work visible for electronic phenotype implementation: Lessons learned from the eMERGE network., , , , , , , , , and 9 other author(s). J. Biomed. Informatics, (2019)Is an Algorithm Just an Algorithm? How to Define Clinical Concepts for Use in Comparative Safety and Effectiveness Distributed Research Networks., , , , and . CRI, AMIA, (2017)Discovery and replication of SNP-SNP interactions for quantitative lipid traits in over 60,000 individuals., , , , , , , , , and 42 other author(s). BioData Min., 10 (1): 25:1-25:20 (2017)Data-driven automated classification algorithms for acute health conditions: applying PheNorm to COVID-19 disease., , , , , , , , , and 8 other author(s). J. Am. Medical Informatics Assoc., 31 (3): 574-582 (February 2024)