DAVID BATES to Natural Language Processing
This is a "connection" page, showing publications DAVID BATES has written about Natural Language Processing.
Connection Strength
0.650
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Performance and improvement strategies for adapting generative large language models for electronic health record applications: A systematic review. Int J Med Inform. 2026 Jan; 205:106091.
Score: 0.218
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A Concept-Wide Association Study of Clinical Notes to Discover New Predictors of Kidney Failure. Clin J Am Soc Nephrol. 2016 12 07; 11(12):2150-2158.
Score: 0.118
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Enhancing early detection of cognitive decline in the elderly: a comparative study utilizing large language models in clinical notes. EBioMedicine. 2024 Nov; 109:105401.
Score: 0.051
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Detecting adverse events using information technology. J Am Med Inform Assoc. 2003 Mar-Apr; 10(2):115-28.
Score: 0.046
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Intelligent Telehealth in Pharmacovigilance: A Future Perspective. Drug Saf. 2022 05; 45(5):449-458.
Score: 0.043
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Examination of Stigmatizing Language in the Electronic Health Record. JAMA Netw Open. 2022 01 04; 5(1):e2144967.
Score: 0.042
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PASCLex: A comprehensive post-acute sequelae of COVID-19 (PASC) symptom lexicon derived from electronic health record clinical notes. J Biomed Inform. 2022 01; 125:103951.
Score: 0.042
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A value set for documenting adverse reactions in electronic health records. J Am Med Inform Assoc. 2018 06 01; 25(6):661-669.
Score: 0.033
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Use of electronic healthcare records to identify complex patients with atrial fibrillation for targeted intervention. J Am Med Inform Assoc. 2017 Mar 01; 24(2):339-344.
Score: 0.030
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Food entries in a large allergy data repository. J Am Med Inform Assoc. 2016 Apr; 23(e1):e79-87.
Score: 0.027