Randolph A. Miller

Affiliations: 
Vanderbilt University, Nashville, TN 
Area:
Biomedical Engineering
Website:
https://www.vumc.org/dbmi/dbmi/person/randolph-miller-md-facmi
Google:
"Randolph Miller"
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Publications

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Smith JC, Chen Q, Denny JC, et al. (2018) Evaluation of a Novel System to Enhance Clinicians' Recognition of Preadmission Adverse Drug Reactions. Applied Clinical Informatics. 9: 313-325
Wu Y, Denny JC, Rosenbloom ST, et al. (2016) A long journey to short abbreviations: developing an open-source framework for clinical abbreviation recognition and disambiguation (CARD). Journal of the American Medical Informatics Association : Jamia
Wu Y, Lei J, Wei WQ, et al. (2013) Analyzing differences between chinese and english clinical text: a cross-institution comparison of discharge summaries in two languages. Studies in Health Technology and Informatics. 192: 662-6
Rosenbloom ST, Miller RA, Adams P, et al. (2013) Implementing an interface terminology for structured clinical documentation. Journal of the American Medical Informatics Association : Jamia. 20: e178-82
Liu M, McPeek Hinz ER, Matheny ME, et al. (2013) Comparative analysis of pharmacovigilance methods in the detection of adverse drug reactions using electronic medical records. Journal of the American Medical Informatics Association : Jamia. 20: 420-6
Atreya RV, Smith JC, McCoy AB, et al. (2013) Reducing patient re-identification risk for laboratory results within research datasets. Journal of the American Medical Informatics Association : Jamia. 20: 95-101
Wu Y, Denny JC, Rosenbloom ST, et al. (2012) A comparative study of current Clinical Natural Language Processing systems on handling abbreviations in discharge summaries. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 2012: 997-1003
McCoy AB, Waitman LR, Lewis JB, et al. (2012) A framework for evaluating the appropriateness of clinical decision support alerts and responses. Journal of the American Medical Informatics Association : Jamia. 19: 346-52
Denny JC, Choma NN, Peterson JF, et al. (2012) Natural language processing improves identification of colorectal cancer testing in the electronic medical record. Medical Decision Making : An International Journal of the Society For Medical Decision Making. 32: 188-97
Wu Y, Rosenbloom ST, Denny JC, et al. (2011) Detecting abbreviations in discharge summaries using machine learning methods. Amia ... Annual Symposium Proceedings / Amia Symposium. Amia Symposium. 2011: 1541-9
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