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Combining deep learning methods and human knowledge to identify abnormalities in computed tomography (CT) reports., , , , , , , , and . Medical Imaging: Computer-Aided Diagnosis, volume 10950 of SPIE Proceedings, page 109500V. SPIE, (2019)Lessons Learned from an EHR-Based Population Health Datamart: Southeastern Diabetes Initiative (SEDI)., , , , and . AMIA, AMIA, (2018)Development and validation of an electronic medical record (EMR)-based computed phenotype of HIV-1 infection., , , , , , , , , and 2 other author(s). JAMIA, 25 (2): 150-157 (2018)How and when informative visit processes can bias inference when using electronic health records data for clinical research., , , and . J. Am. Medical Informatics Assoc., 26 (12): 1609-1617 (2019)A Simulation Framework for Longitudinal Electronic Health Records Data., and . AMIA, AMIA, (2015)The Duke Health Data Science Internship Program: Integrating the Educational Mission into Real-World Research., , , , , , , , , and 2 other author(s). AMIA, AMIA, (2018)Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus., , , , , , , , , and 23 other author(s). J. Am. Medical Informatics Assoc., 24 (e1): e121-e128 (2017)An outcome model approach to transporting a randomized controlled trial results to a target population., , , , , and . J. Am. Medical Informatics Assoc., 26 (5): 429-437 (2019)Informed Presence Bias in the Analysis of Electronic Health Records., , and . CRI, AMIA, (2017)