메뉴 건너뛰기




Volumn 19, Issue E1, 2012, Pages

Automated discovery of drug treatment patterns for endocrine therapy of breast cancer within an electronic medical record

Author keywords

[No Author keywords available]

Indexed keywords

AROMATASE INHIBITOR; TAMOXIFEN;

EID: 84863538060     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2011-000295     Document Type: Article
Times cited : (28)

References (27)
  • 1
    • 84880911411 scopus 로고    scopus 로고
    • Strategic Health IT Advanced Research Projects (SHARP) Program, Office of the National Coordinator. (accessed 31 Jul 2011)
    • Strategic Health IT Advanced Research Projects (SHARP) Program, Office of the National Coordinator. 2011. http://healthit.hhs.gov/portal/server.pt/community/ healthit_hhs_gov__sharp_program/1806 (accessed 31 Jul 2011).
    • (2011)
  • 2
    • 84880908274 scopus 로고    scopus 로고
    • Strategic Health IT Advanced Research Projects: Area 4 (SHARPn): Secondary Data Use and Normalization, (accessed 31 Jul 2011)
    • Strategic Health IT Advanced Research Projects: Area 4 (SHARPn): Secondary Data Use and Normalization. http://sharpn.org (accessed 31 Jul 2011).
  • 3
    • 84880903225 scopus 로고    scopus 로고
    • eMERGE.(accessed 31 2011)
    • eMERGE. https://www.mc.vanderbilt.edu/victr/dcc/projects/acc/index.php/ Main_Page (accessed 31 2011).
  • 4
    • 79251581866 scopus 로고    scopus 로고
    • The eMERGE network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies
    • doi:10.1186/1155-8794-4-13
    • McCarty C, Chisholm R, Chute C, et al. The eMERGE network: a consortium of biorepositories linked to electronic medical records data for conducting genomic studies. BMC Medical Genomics 4 2011. doi:10.1186/1155-8794-4-13.
    • (2011) BMC Medical Genomics , vol.4
    • McCarty, C.1    Chisholm, R.2    Chute, C.3
  • 5
    • 84880891729 scopus 로고    scopus 로고
    • (accessed 31 Jul 2011).PGRN
    • PGRN. http://www.nigms.nih.gov/Initiatives/PGRN (accessed 31 Jul 2011).
  • 6
    • 79951811383 scopus 로고    scopus 로고
    • The emerging role of the electronic medical records in pharmacogenomics
    • Wilke R, Xu H, Denny J, et al. The emerging role of the electronic medical records in pharmacogenomics. Clin Pharmacol Ther 2011;89:379-86.
    • (2011) Clin Pharmacol Ther , vol.89 , pp. 379-386
    • Wilke, R.1    Xu, H.2    Denny, J.3
  • 7
    • 70349929431 scopus 로고    scopus 로고
    • Association between CYP2D6 polymorphisms and outcomes among women with early stage breast cancer treated with tamoxifen
    • Schroth W, Goetz M, Hamann U, et al. Association between CYP2D6 polymorphisms and outcomes among women with early stage breast cancer treated with tamoxifen. JAMA 2009;302:1429-36.
    • (2009) JAMA , vol.302 , pp. 1429-1436
    • Schroth, W.1    Goetz, M.2    Hamann, U.3
  • 8
    • 77953147757 scopus 로고    scopus 로고
    • The enterprise data trust at mayo clinic: a semantically integrated warehouse of biomedical data
    • Chute C, Beck S, Fisk T, et al. The enterprise data trust at mayo clinic: a semantically integrated warehouse of biomedical data. J Am Med Inform Assoc 2010;17:131-5.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 131-135
    • Chute, C.1    Beck, S.2    Fisk, T.3
  • 9
    • 77953170556 scopus 로고    scopus 로고
    • Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2)
    • Murphy S, Weber G, Mendis M, et al. Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2). J Am Med Inform Assoc 2010;17:124-30.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 124-130
    • Murphy, S.1    Weber, G.2    Mendis, M.3
  • 11
    • 78149490620 scopus 로고    scopus 로고
    • Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications
    • Savova G, Masanz J, Ogren P, et al. Mayo clinical Text Analysis and Knowledge Extraction System (cTAKES): architecture, component evaluation and applications. J Am Med Inform Assoc 2010;17:507-13.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 507-513
    • Savova, G.1    Masanz, J.2    Ogren, P.3
  • 12
    • 77958597919 scopus 로고    scopus 로고
    • Leveraging informatics for genetic studies: use of the electronic medical record to enable genome-wide association study of peripheral arterial disease
    • Kullo I, Fan J, Pathak J, et al. Leveraging informatics for genetic studies: use of the electronic medical record to enable genome-wide association study of peripheral arterial disease. J Am Med Inform Assoc 2010;17:568-74.
    • (2010) J Am Med Inform Assoc , vol.17 , pp. 568-574
    • Kullo, I.1    Fan, J.2    Pathak, J.3
  • 13
    • 36749096161 scopus 로고    scopus 로고
    • Mayo clinic system for patient smoking status classification
    • Savova G, Ogren P, Duffy P, et al. Mayo clinic system for patient smoking status classification. J Am Med Inform Assoc 2008;15:25-8.
    • (2008) J Am Med Inform Assoc , vol.15 , pp. 25-28
    • Savova, G.1    Ogren, P.2    Duffy, P.3
  • 14
    • 84857170429 scopus 로고    scopus 로고
    • The mayo/MITRE system for discovery of obesity and its comorbidities
    • Washington, DC: American Medical Informatics Association Annual Symposium
    • Savova G, Clark C, Zheng J, et al. The mayo/MITRE system for discovery of obesity and its comorbidities. In: 2nd i2b2 Challenge Workshop. Washington, DC: American Medical Informatics Association Annual Symposium, 2008.
    • (2008) 2nd i2b2 Challenge Workshop
    • Savova, G.1    Clark, C.2    Zheng, J.3
  • 15
    • 77952241648 scopus 로고    scopus 로고
    • Discerning tumor status from unstructured MRI reportsdcompleteness of information in existing reports and utility of natural language processing
    • PMID: 19484309
    • Cheng L, Zheng J, Savova G, et al. Discerning tumor status from unstructured MRI reportsdcompleteness of information in existing reports and utility of natural language processing. J Digit Imaging 2010;23:119-32. PMID: 19484309. http:// www.ncbi.nlm.nih.gov/pubmed/19484309
    • (2010) J Digit Imaging , vol.23 , pp. 119-132
    • Cheng, L.1    Zheng, J.2    Savova, G.3
  • 16
    • 84880905484 scopus 로고    scopus 로고
    • Unified Medical Language System (UMLS). (accessed 31 Jul 2011)
    • Unified Medical Language System (UMLS). http://www.nlm.nih.gov/research/ umls/ (accessed 31 Jul 2011).
  • 17
    • 84880877616 scopus 로고    scopus 로고
    • (accessed 31 Jul 2011).SNOMED CT
    • SNOMED CT. http://www.nlm.nih.gov/research/umls/Snomed/snomed_main.html (accessed 31 Jul 2011).
  • 18
    • 84880880467 scopus 로고    scopus 로고
    • (accessed 31 Jul 2011). RxNorm
    • RxNorm. http://www.nlm.nih.gov/research/umls/rxnorm/ (accessed 31 Jul 2011).
  • 19
    • 84880887042 scopus 로고    scopus 로고
    • (accessed 31 Jul 2011) OpenNLP
    • OpenNLP. http://opennlp.sourceforge.net/index.html (accessed 31 Jul 2011).
  • 20
    • 84880886744 scopus 로고    scopus 로고
    • (accessed 31 July 2011). LVG
    • LVG. http://SPECIALIST.nlm.nih.gov (accessed 31 July 2011).
  • 21
    • 0035741485 scopus 로고    scopus 로고
    • A simple algorithm for identifying negated findings and diseases in discharge summaries
    • Chapman W, Bridewell W, Hanbury P, et al. A simple algorithm for identifying negated findings and diseases in discharge summaries. J Biomed Inform 2001;34:301-10.
    • (2001) J Biomed Inform , vol.34 , pp. 301-310
    • Chapman, W.1    Bridewell, W.2    Hanbury, P.3
  • 23
    • 79953776666 scopus 로고    scopus 로고
    • San Francisco, CA: American Medical Informatics Association Annual Symposium
    • Sohn S, Savova G. Mayo Clinic Smoking Status Classification System. San Francisco, CA: American Medical Informatics Association Annual Symposium, 2009:619-23.
    • (2009) Mayo Clinic Smoking Status Classification System , pp. 619-23
    • Sohn, S.1    Savova, G.2
  • 24
    • 84880856727 scopus 로고    scopus 로고
    • UIMA. (accessed 31 Jul 2011)
    • UIMA. http://uima.apache.org (accessed 31 Jul 2011).
  • 25
    • 84880854830 scopus 로고    scopus 로고
    • (accessed 31 Jul 2011). NDF-RT
    • NDF-RT. http://www.nlm.nih.gov/research/umls/sourcereleasedocs/2008AB/ NDFRT/ (accessed 31 Jul 2011).
  • 26
    • 84880856850 scopus 로고    scopus 로고
    • (accessed 31 Jul 2011).National Library of Medicine. Unified Medical Language System
    • National Library of Medicine. Unified Medical Language System. 2010. https:// login.nlm.nih.gov/cas/login?service1/4http://umlsks.nlm.nih.gov/uPortal/Login (accessed 31 Jul 2011).
    • (2010)


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.