Stephane Meystre to Medical Records Systems, Computerized
This is a "connection" page, showing publications Stephane Meystre has written about Medical Records Systems, Computerized.
Connection Strength
2.939
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Can physicians recognize their own patients in de-identified notes? Stud Health Technol Inform. 2014; 205:778-82.
Score: 0.418
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Improving heart failure information extraction by domain adaptation. Stud Health Technol Inform. 2013; 192:185-9.
Score: 0.390
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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: 0.314
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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: 0.276
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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: 0.258
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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: 0.240
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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: 0.239
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Automation of a problem list using natural language processing. BMC Med Inform Decis Mak. 2005 Aug 31; 5:30.
Score: 0.235
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Comparing natural language processing tools to extract medical problems from narrative text. AMIA Annu Symp Proc. 2005; 525-9.
Score: 0.224
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Medical problem and document model for natural language understanding. AMIA Annu Symp Proc. 2003; 455-9.
Score: 0.195
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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: 0.079
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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: 0.070