Below are the most recent publications written about "Natural Language Processing" by people in Profiles.
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Liu F, Zhou P, Baccei SJ, Masciocchi MJ, Amornsiripanitch N, Kiefe CI, Rosen MP. Qualifying Certainty in Radiology Reports through Deep Learning-Based Natural Language Processing. AJNR Am J Neuroradiol. 2021 10; 42(10):1755-1761.
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Chartash D, Sharifi M, Emerson B, Frank R, Schoenfeld EM, Tanner J, Brandt C, Taylor RA. Documentation of Shared Decisionmaking in the Emergency Department. Ann Emerg Med. 2021 11; 78(5):637-649.
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Mitra A, Rawat BPS, McManus D, Kapoor A, Yu H. Bleeding Entity Recognition in Electronic Health Records: A Comprehensive Analysis of End-to-End Systems. AMIA Annu Symp Proc. 2020; 2020:860-869.
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Liu F, Pradhan R, Druhl E, Freund E, Liu W, Sauer BC, Cunningham F, Gordon AJ, Peters CB, Yu H. Learning to detect and understand drug discontinuation events from clinical narratives. J Am Med Inform Assoc. 2019 10 01; 26(10):943-951.
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Chen J, Lalor J, Liu W, Druhl E, Granillo E, Vimalananda VG, Yu H. Detecting Hypoglycemia Incidents Reported in Patients' Secure Messages: Using Cost-Sensitive Learning and Oversampling to Reduce Data Imbalance. J Med Internet Res. 2019 03 11; 21(3):e11990.
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Jagannatha A, Liu F, Liu W, Yu H. Overview of the First Natural Language Processing Challenge for Extracting Medication, Indication, and Adverse Drug Events from Electronic Health Record Notes (MADE 1.0). Drug Saf. 2019 01; 42(1):99-111.
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Chen J, Druhl E, Polepalli Ramesh B, Houston TK, Brandt CA, Zulman DM, Vimalananda VG, Malkani S, Yu H. A Natural Language Processing System That Links Medical Terms in Electronic Health Record Notes to Lay Definitions: System Development Using Physician Reviews. J Med Internet Res. 2018 01 22; 20(1):e26.
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Lynch KE, Whitcomb BW, DuVall SL. How Confounder Strength Can Affect Allocation of Resources in Electronic Health Records. Perspect Health Inf Manag. 2018; 15(Winter):1d.
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Chen J, Yu H. Unsupervised ensemble ranking of terms in electronic health record notes based on their importance to patients. J Biomed Inform. 2017 04; 68:121-131.
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Wang Y, Luo J, Hao S, Xu H, Shin AY, Jin B, Liu R, Deng X, Wang L, Zheng L, Zhao Y, Zhu C, Hu Z, Fu C, Hao Y, Zhao Y, Jiang Y, Dai D, Culver DS, Alfreds ST, Todd R, Stearns F, Sylvester KG, Widen E, Ling XB. NLP based congestive heart failure case finding: A prospective analysis on statewide electronic medical records. Int J Med Inform. 2015 Dec; 84(12):1039-47.