Below are the most recent publications written about "Natural Language Processing" by people in Profiles.
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Tabaie A, Tran A, Calabria T, Bennett SS, Milicia A, Weintraub W, Gallagher WJ, Yosaitis J, Schubel LC, Hill MA, Smith KM, Miller K. Evaluation of a Natural Language Processing Approach to Identify Diagnostic Errors and Analysis of Safety Learning System Case Review Data: Retrospective Cohort Study. J Med Internet Res. 2024 Aug 26; 26:e50935.
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Fares MY, Liu HH, da Silva Etges APB, Zhang B, Warner JJP, Olson JJ, Fedorka CJ, Khan AZ, Best MJ, Kirsch JM, Simon JE, Sanders B, Costouros JG, Zhang X, Jones P, Haas DA, Abboud JA. Utility of Machine Learning, Natural Language Processing, and Artificial Intelligence in Predicting Hospital Readmissions After Orthopaedic Surgery: A Systematic Review and Meta-Analysis. JBJS Rev. 2024 Aug 01; 12(8).
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Parasa S, Berzin T, Leggett C, Gross S, Repici A, Ahmad OF, Chiang A, Coelho-Prabhu N, Cohen J, Dekker E, Keswani RN, Kahn CE, Hassan C, Petrick N, Mountney P, Ng J, Riegler M, Mori Y, Saito Y, Thakkar S, Waxman I, Wallace MB, Sharma P. Consensus statements on the current landscape of artificial intelligence applications in endoscopy, addressing roadblocks, and advancing artificial intelligence in gastroenterology. Gastrointest Endosc. 2025 Jan; 101(1):2-9.e1.
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Boitano LT, DeVivo G, Robichaud DI, Okuhn S, Steppacher RC, Simons JP, Aiello FA, Jones D, Judelson D, Nguyen T, Sorensen C, Schanzer A. Successful implementation of a nurse-navigator-run program using natural language processing identifying patients with an abdominal aortic aneurysm. J Vasc Surg. 2023 Mar; 77(3):922-929.
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Mahmood ASMA, Rao S, McGarvey P, Wu C, Madhavan S, Vijay-Shanker K. eGARD: Extracting associations between genomic anomalies and drug responses from text. PLoS One. 2017; 12(12):e0189663.
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Roberts K, Rink B, Harabagiu SM, Scheuermann RH, Toomay S, Browning T, Bosler T, Peshock R. A machine learning approach for identifying anatomical locations of actionable findings in radiology reports. AMIA Annu Symp Proc. 2012; 2012:779-88.
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Hirschman L, Burns GA, Krallinger M, Arighi C, Cohen KB, Valencia A, Wu CH, Chatr-Aryamontri A, Dowell KG, Huala E, Lourenço A, Nash R, Veuthey AL, Wiegers T, Winter AG. Text mining for the biocuration workflow. Database (Oxford). 2012; 2012:bas020.
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Brown P, Hal?sz S, Goodall C, Cochrane DG, Milano P, Allegra JR. The ngram chief complaint classifier: a novel method of automatically creating chief complaint classifiers based on international classification of diseases groupings. J Biomed Inform. 2010 Apr; 43(2):268-72.
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Torii M, Hu ZZ, Song M, Wu CH, Liu H. A comparison study on algorithms of detecting long forms for short forms in biomedical text. BMC Bioinformatics. 2007; 8 Suppl 9:S5.
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Gamberoni G, Lamma E, Lodo G, Marchesini J, Mascellani N, Rossi S, Storari S, Tagliavini L, Volinia S. Fun&Co: identification of key functional differences in transcriptomes. Bioinformatics. 2007 Oct 15; 23(20):2725-32.