 Connection
Benjamin Steinberg to Natural Language Processing
This is a "connection" page, showing publications Benjamin Steinberg has written about Natural Language Processing.
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Connection Strength |
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0.354 |
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Shah RU, Mutharasan RK, Ahmad FS, Rosenblatt AG, Gay HC, Steinberg BA, Yandell M, Tristani-Firouzi M, Klewer J, Mukherjee R, Lloyd-Jones DM. Development of a Portable Tool to Identify Patients With Atrial Fibrillation Using Clinical Notes From the Electronic Medical Record. Circ Cardiovasc Qual Outcomes. 2020 10; 13(10):e006516.
Score: 0.148
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Taggart M, Chapman WW, Steinberg BA, Ruckel S, Pregenzer-Wenzler A, Du Y, Ferraro J, Bucher BT, Lloyd-Jones DM, Rondina MT, Shah RU. Comparison of 2 Natural Language Processing Methods for Identification of Bleeding Among Critically Ill Patients. JAMA Netw Open. 2018 10 05; 1(6):e183451.
Score: 0.128
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Reynolds MR, Bunch TJ, Steinberg BA, Ronk CJ, Kim H, Wieloch M, Lip GYH. Novel methodology for the evaluation of symptoms reported by patients with newly diagnosed atrial fibrillation: Application of natural language processing to electronic medical records data. J Cardiovasc Electrophysiol. 2023 04; 34(4):790-799.
Score: 0.043
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Shah RU, Mukherjee R, Zhang Y, Jones AE, Springer J, Hackett I, Steinberg BA, Lloyd-Jones DM, Chapman WW. Impact of Different Electronic Cohort Definitions to Identify Patients With Atrial Fibrillation From the Electronic Medical Record. J Am Heart Assoc. 2020 03 03; 9(5):e014527.
Score: 0.035
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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