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Volumn , Issue , 2012, Pages

Identifying Patients for Clinical Studies from Electronic Health Records: TREC 2012 Medical Records Track at OHSU

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; DIAGNOSIS; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; RECORDS MANAGEMENT;

EID: 85054632425     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (9)
  • 1
    • 84981254841 scopus 로고    scopus 로고
    • Overview of the TREC 2012 Medical Records Track
    • Gaithersburg, MD: National Institute for Standards and Technology
    • Voorhees E and Hersh W. Overview of the TREC 2012 Medical Records Track. The Twenty-First Text REtrieval Conference Proceedings (TREC 2012). 2012. Gaithersburg, MD: National Institute for Standards and Technology.
    • (2012) The Twenty-First Text REtrieval Conference Proceedings (TREC 2012)
    • Voorhees, E1    Hersh, W.2
  • 3
    • 78349263409 scopus 로고    scopus 로고
    • Achieving a nationwide learning health system
    • Friedman CP, Wong AK, and Blumenthal D, Achieving a nationwide learning health system. Science Translational Medicine, 2010. 2(57): 57cm29. http://stm.sciencemag.org/content/2/57/57cm29.full.
    • (2010) Science Translational Medicine , vol.2 , Issue.57 , pp. 57cm29
    • Friedman, CP1    Wong, AK2    Blumenthal, D3
  • 4
    • 84855172455 scopus 로고    scopus 로고
    • Wiring the health system-origins and provisions of a new federal program
    • Blumenthal D, Wiring the health system-origins and provisions of a new federal program. New England Journal of Medicine, 2011. 365: 2323-2329.
    • (2011) New England Journal of Medicine , vol.365 , pp. 2323-2329
    • Blumenthal, D1
  • 5
    • 85180013808 scopus 로고    scopus 로고
    • Identifying Patients for Clinical Studies from Electronic Health Records: TREC Medical Records Track at OHSU
    • Gaithersburg, MD: National Institute for Standards and Technology
    • Bedrick S, Ambert K, Cohen A, and Hersh W. Identifying Patients for Clinical Studies from Electronic Health Records: TREC Medical Records Track at OHSU. The Twentieth Text REtrieval Conference Proceedings (TREC 2011). 2011. Gaithersburg, MD: National Institute for Standards and Technology. http://trec.nist.gov/pubs/trec20/papers/OHSU.medical.update.pdf.
    • (2011) The Twentieth Text REtrieval Conference Proceedings (TREC 2011)
    • Bedrick, S1    Ambert, K2    Cohen, A3    Hersh, W.4
  • 6
    • 25144453630 scopus 로고    scopus 로고
    • Second Edition: Covers Apache Lucene 3.0. Greenwich, CT: Manning Publications
    • McCandless M, Hatcher E, and Gospodnetic O, Lucene in Action, Second Edition: Covers Apache Lucene 3.0. 2010, Greenwich, CT: Manning Publications.
    • (2010) Lucene in Action
    • McCandless, M1    Hatcher, E2    Gospodnetic, O3
  • 8
    • 0345863927 scopus 로고    scopus 로고
    • The Unified Medical Language System (UMLS): integrating biomedical terminology
    • Bodenreider O, The Unified Medical Language System (UMLS): integrating biomedical terminology. Nucleic Acids Research, 2004. 32: D267-D270.
    • (2004) Nucleic Acids Research , vol.32 , pp. D267-D270
    • Bodenreider, O1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.