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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)Evaluation of the Portability of Natural Language Processing-based Computable Phenotypes in the eMERGE Network., , , , , , , , , and 15 other author(s). AMIA, AMIA, (2021)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)Resilience of clinical text de-identified with "hiding in plain sight" to hostile reidentification attacks by human readers., , , , , , , , and . J. Am. Medical Informatics Assoc., 27 (9): 1374-1382 (2020)"You Can See the Connections": Facilitating Visualization of Care Priorities in People Living with Multiple Chronic Health Conditions., , , , , , , , , and 4 other author(s). CHI, page 473:1-473:17. ACM, (2023)Design of digital walking programs that engage prostate cancer survivors: Needs and preferences from focus groups., , , , , , and . AMIA, AMIA, (2021)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)Addressing physical activity barriers among prostate cancer survivors through a peer-based digital walking program., , , , , , , , and . AMIA, AMIA, (2019)Data-driven automated classification algorithms for acute health conditions: Applying PheNorm to COVID-19 disease., , , , , , , , , and 9 other author(s). AMIA, AMIA, (2022)