Stephane Meystre to Humans
This is a "connection" page, showing publications Stephane Meystre has written about Humans.
Connection Strength
0.418
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Impact of De-Identification on Clinical Text Classification Using Traditional and Deep Learning Classifiers. Stud Health Technol Inform. 2019 Aug 21; 264:283-287.
Score: 0.026
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Automatic trial eligibility surveillance based on unstructured clinical data. Int J Med Inform. 2019 09; 129:13-19.
Score: 0.026
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Enhancing Comparative Effectiveness Research With Automated Pediatric Pneumonia Detection in a Multi-Institutional Clinical Repository: A PHIS+ Pilot Study. J Med Internet Res. 2017 05 15; 19(5):e162.
Score: 0.022
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Congestive heart failure information extraction framework for automated treatment performance measures assessment. J Am Med Inform Assoc. 2017 Apr 01; 24(e1):e40-e46.
Score: 0.022
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Adapting existing natural language processing resources for cardiovascular risk factors identification in clinical notes. J Biomed Inform. 2015 Dec; 58 Suppl:S128-S132.
Score: 0.020
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Classification of Contextual Use of Left Ventricular Ejection Fraction Assessments. Stud Health Technol Inform. 2015; 216:599-603.
Score: 0.019
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Heart Failure Medications Detection and Prescription Status Classification in Clinical Narrative Documents. Stud Health Technol Inform. 2015; 216:609-13.
Score: 0.019
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Improving heart failure information extraction by domain adaptation. Stud Health Technol Inform. 2013; 192:185-9.
Score: 0.016
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Generalizability and comparison of automatic clinical text de-identification methods and resources. AMIA Annu Symp Proc. 2012; 2012:199-208.
Score: 0.016
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BoB, a best-of-breed automated text de-identification system for VHA clinical documents. J Am Med Inform Assoc. 2013 Jan 01; 20(1):77-83.
Score: 0.016
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Evaluating current automatic de-identification methods with Veteran's health administration clinical documents. BMC Med Res Methodol. 2012 Jul 27; 12:109.
Score: 0.016
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Textractor: a hybrid system for medications and reason for their prescription extraction from clinical text documents. J Am Med Inform Assoc. 2010 Sep-Oct; 17(5):559-62.
Score: 0.014
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Automatic de-identification of textual documents in the electronic health record: a review of recent research. BMC Med Res Methodol. 2010 Aug 02; 10:70.
Score: 0.014
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Automatically detecting medications and the reason for their prescription in clinical narrative text documents. Stud Health Technol Inform. 2010; 160(Pt 2):944-8.
Score: 0.013
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A clinical use case to evaluate the i2b2 Hive: predicting asthma exacerbations. AMIA Annu Symp Proc. 2009 Nov 14; 2009:442-6.
Score: 0.013
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Randomized controlled trial of an automated problem list with improved sensitivity. Int J Med Inform. 2008 Sep; 77(9):602-12.
Score: 0.012
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Extracting information from textual documents in the electronic health record: a review of recent research. Yearb Med Inform. 2008; 128-44.
Score: 0.012
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Electronic patient records: some answers to the data representation and reuse challenges. Findings from the section on Patient Records. Yearb Med Inform. 2007; 47-9.
Score: 0.011
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Improving the sensitivity of the problem list in an intensive care unit by using natural language processing. AMIA Annu Symp Proc. 2006; 554-8.
Score: 0.010
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Natural language processing to extract medical problems from electronic clinical documents: performance evaluation. J Biomed Inform. 2006 Dec; 39(6):589-99.
Score: 0.010
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Automation of a problem list using natural language processing. BMC Med Inform Decis Mak. 2005 Aug 31; 5:30.
Score: 0.010
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The current state of telemonitoring: a comment on the literature. Telemed J E Health. 2005 Feb; 11(1):63-9.
Score: 0.010
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Evaluation of Medical Problem Extraction from Electronic Clinical Documents Using MetaMap Transfer (MMTx). Stud Health Technol Inform. 2005; 116:823-8.
Score: 0.009
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Comparing natural language processing tools to extract medical problems from narrative text. AMIA Annu Symp Proc. 2005; 525-9.
Score: 0.009
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Medical problem and document model for natural language understanding. AMIA Annu Symp Proc. 2003; 455-9.
Score: 0.008
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Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative. J Am Med Inform Assoc. 2022 03 15; 29(4):609-618.
Score: 0.008
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Leveraging health system telehealth and informatics infrastructure to create a continuum of services for COVID-19 screening, testing, and treatment. J Am Med Inform Assoc. 2020 12 09; 27(12):1871-1877.
Score: 0.007
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An artificial intelligence approach to COVID-19 infection risk assessment in virtual visits: A case report. J Am Med Inform Assoc. 2020 08 01; 27(8):1321-1325.
Score: 0.007
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Identifying Falls Risk Screenings Not Documented with Administrative Codes Using Natural Language Processing. AMIA Annu Symp Proc. 2017; 2017:1923-1930.
Score: 0.006
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Evaluation of PHI Hunter in Natural Language Processing Research. Perspect Health Inf Manag. 2015; 12:1f.
Score: 0.005
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Applying ontological realism to medically unexplained syndromes. Stud Health Technol Inform. 2013; 192:97-101.
Score: 0.004
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Inductive creation of an annotation schema and a reference standard for de-identification of VA electronic clinical notes. AMIA Annu Symp Proc. 2009 Nov 14; 2009:416-20.
Score: 0.003
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Evaluating the informatics for integrating biology and the bedside system for clinical research. BMC Med Res Methodol. 2009 Oct 28; 9:70.
Score: 0.003