Connection

Stephane Meystre to Information Storage and Retrieval

This is a "connection" page, showing publications Stephane Meystre has written about Information Storage and Retrieval.
  1. Congestive heart failure information extraction framework for automated treatment performance measures assessment. J Am Med Inform Assoc. 2017 Apr 01; 24(e1):e40-e46.
    View in: PubMed
    Score: 0.554
  2. Can physicians recognize their own patients in de-identified notes? Stud Health Technol Inform. 2014; 205:778-82.
    View in: PubMed
    Score: 0.442
  3. 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.
    View in: PubMed
    Score: 0.351
  4. Automatically detecting medications and the reason for their prescription in clinical narrative text documents. Stud Health Technol Inform. 2010; 160(Pt 2):944-8.
    View in: PubMed
    Score: 0.335
  5. A clinical use case to evaluate the i2b2 Hive: predicting asthma exacerbations. AMIA Annu Symp Proc. 2009 Nov 14; 2009:442-6.
    View in: PubMed
    Score: 0.332
  6. Extracting information from textual documents in the electronic health record: a review of recent research. Yearb Med Inform. 2008; 128-44.
    View in: PubMed
    Score: 0.292
  7. Comparing natural language processing tools to extract medical problems from narrative text. AMIA Annu Symp Proc. 2005; 525-9.
    View in: PubMed
    Score: 0.237
  8. Medical problem and document model for natural language understanding. AMIA Annu Symp Proc. 2003; 455-9.
    View in: PubMed
    Score: 0.206
  9. Identifying Falls Risk Screenings Not Documented with Administrative Codes Using Natural Language Processing. AMIA Annu Symp Proc. 2017; 2017:1923-1930.
    View in: PubMed
    Score: 0.149
  10. Natural language processing to extract medical problems from electronic clinical documents: performance evaluation. J Biomed Inform. 2006 Dec; 39(6):589-99.
    View in: PubMed
    Score: 0.063
  11. Evaluating the informatics for integrating biology and the bedside system for clinical research. BMC Med Res Methodol. 2009 Oct 28; 9:70.
    View in: PubMed
    Score: 0.021
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.