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DQueST: dynamic questionnaire for search of clinical trials.

, , , , , , and . J. Am. Medical Informatics Assoc., 26 (11): 1333-1343 (2019)

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The potential role of EHR data in optimizing eligibility criteria definition for cardiovascular outcome trials., , , , , and . Int. J. Medical Informatics, (2021)Building an OMOP common data model-compliant annotated corpus for COVID-19 clinical trials., , , , , , , and . J. Biomed. Informatics, (2021)Potential Role of Clinical Trial Eligibility Criteria in Electronic Phenotyping., , , , and . MIE, volume 281 of Studies in Health Technology and Informatics, page 148-152. IOS Press, (2021)Impact of IMPACT: Longitudinal Analysis of an Integrated Participant Scheduling System in a Clinical Research Setting., , , , , , , , , and . AMIA, AMIA, (2020)A Framework for Systematic Assessment of Clinical Trial Population Representativeness Using Electronic Health Records Data., , , , , , , and . Appl. Clin. Inform., 12 (4): 816-825 (2021)Towards clinical data-driven eligibility criteria optimization for interventional COVID-19 clinical trials., , , , , , , , , and 5 other author(s). J. Am. Medical Informatics Assoc., 28 (1): 14-22 (2021)DQueST: dynamic questionnaire for search of clinical trials., , , , , , and . J. Am. Medical Informatics Assoc., 26 (11): 1333-1343 (2019)The COVID-19 Trial Finder., , , , , , , , , and 2 other author(s). J. Am. Medical Informatics Assoc., 28 (3): 616-621 (2021)A knowledge base of clinical trial eligibility criteria., , , , and . J. Biomed. Informatics, (2021)Potential Role of Clinical Trial Eligibility Criteria in Electronic Phenotyping., , , , and . AMIA, AMIA, (2020)