1. Exploring the ability of natural language processing to extract data from nursing narratives.
   Hyun S, Johnson SB, Bakken S.
   Comput Inform Nurs. 2009 Jul-Aug;27(4):215-23; quiz 224-5.

2. Active computerized pharmacovigilance using natural language processing, statistics, and electronic health records: a feasibility study.
   Wang X, Hripcsak G, Markatou M, Friedman C.
   J Am Med Inform Assoc. 2009 May-Jun;16(3):328-37. Epub 2009 Mar 4.

3. Automated knowledge acquisition from clinical narrative reports.
   Wang X, Chused A, Elhadad N, Friedman C, Markatou M.
   AMIA Annu Symp Proc. 2008 Nov 6:783-7.

4. Use of semantic features to classify patient smoking status.
   McCormick PJ, Elhadad N, Stetson PD.
   AMIA Annu Symp Proc. 2008 Nov 6:450-4.

5. Repurposing the clinical record: can an existing natural language processing system de-identify clinical notes?
   Morrison FP, Li L, Lai AM, Hripcsak G.
   J Am Med Inform Assoc. 2009 Jan-Feb;16(1):37-9. Epub 2008 Oct 24.

6. Automated acquisition of disease drug knowledge from biomedical and clinical documents: an initial study.
   Chen ES, Hripcsak G, Xu H, Markatou M, Friedman C.
   J Am Med Inform Assoc. 2008 Jan-Feb;15(1):87-98. Epub 2007 Oct 18.

7. Multilingual information retrieval in thoracic radiology: feasibility study.
   Castilla AC, Furuie SS, Mendona EA.
   Stud Health Technol Inform. 2007;129(Pt 1):387-91.

8. Disseminating natural language processed clinical narratives.
   Chen ES, Hripcsak G, Friedman C.
   AMIA Annu Symp Proc. 2006:126-30.

9. Terminology model discovery using natural language processing and visualization techniques.
   Zhou L, Tao Y, Cimino JJ, Chen ES, Liu H, Lussier YA, Hripcsak G, Friedman C.
   J Biomed Inform. 2006 Dec;39(6):626-36.

10. ISO reference terminology models for nursing: applicability for natural language processing of nursing narratives.
    Bakken S, Hyun S, Friedman C, Johnson SB.
    Int J Med Inform. 2005 Aug;74(7-8):615-22. Epub 2005 Apr 7.

11. Automated detection of adverse events using natural language processing of discharge summaries.
    Melton GB, Hripcsak G.
    J Am Med Inform Assoc. 2005 Jul-Aug;12(4):448-57. Epub 2005 Mar 31.

12. Extracting phenotypic information from the literature via natural language processing.
    Chen L, Friedman C.
    Stud Health Technol Inform. 2004;107(Pt 2):758-62.

13. Facilitating cancer research using natural language processing of pathology reports.
    Xu H, Anderson K, Grann VR, Friedman C.
    Stud Health Technol Inform. 2004;107(Pt 1):565-72.

14. A comparison of semantic categories of the ISO reference terminology models for nursing and the MedLEE natural language processing system.
    Bakken S, Hyun S, Friedman C, Johnson S.
    Stud Health Technol Inform. 2004;107(Pt 1):472-6.

15. Automated encoding of clinical documents based on natural language processing.
    Friedman C, Shagina L, Lussier Y, Hripcsak G.
    J Am Med Inform Assoc. 2004 Sep-Oct;11(5):392-402. Epub 2004 Jun 7.

16. A comparison of the Charlson comorbidities derived from medical language processing and administrative data.
    Chuang JH, Friedman C, Hripcsak G.
    Proc AMIA Symp. 2002:160-4.

17. Automating SNOMED coding using medical language understanding: a feasibility study.
    Lussier YA, Shagina L, Friedman C.
    Proc AMIA Symp. 2001:418-22.

18. A knowledge model for the interpretation and visualization of NLP-parsed discharged summaries.
    Krauthammer M, Hripcsak G.
    Proc AMIA Symp. 2001:339-43.

19. Evaluating the UMLS as a source of lexical knowledge for medical language processing.
    Friedman C, Liu H, Shagina L, Johnson S, Hripcsak G.
    Proc AMIA Symp. 2001:189-93.

20. GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles.
    Friedman C, Kra P, Yu H, Krauthammer M, Rzhetsky A.
    Bioinformatics. 2001;17 Suppl 1:S74-82.

21. A broad-coverage natural language processing system.
    Friedman C.
    Proc AMIA Symp. 2000:270-4.

22. Limited parsing of notational text visit notes: ad-hoc vs. NLP approaches.
    Barrows Jr RC, Busuioc M, Friedman C.
    Proc AMIA Symp. 2000:51-5.

23. Use of the Extensible Stylesheet Language (XSL) for medical data transformation.
    Seol YH, Johnson SB, Starren J.
    Proc AMIA Symp. 1999:142-6.

24. An evaluation of natural language processing methodologies.
    Friedman C, Hripcsak G, Shablinsky I.
    Proc AMIA Symp. 1998:855-9.

25. Extracting findings from narrative reports: software transferability and sources of physician disagreement.
    Hripcsak G, Kuperman GJ, Friedman C.
    Methods Inf Med. 1998 Jan;37(1):1-7.

26. Identification of findings suspicious for breast cancer based on natural language processing of mammogram reports.
    Jain NL, Friedman C.
    Proc AMIA Annu Fall Symp. 1997:829-33.

27. Towards a comprehensive medical language processing system: methods and issues.
    Friedman C.
    Proc AMIA Annu Fall Symp. 1997:595-9.

28. Identification of suspected tuberculosis patients based on natural language processing of chest radiograph reports.
    Jain NL, Knirsch CA, Friedman C, Hripcsak G.
    Proc AMIA Annu Fall Symp. 1996:542-6.

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