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Volumn 21, Issue 4, 2016, Pages 136-138

Natural language processing: Use in EBM and a guide for appraisal

Author keywords

EPIDEMIOLOGY; GENERAL MEDICINE (see Internal Medicine); QUALITATIVE RESEARCH

Indexed keywords

GOLD STANDARD; HEALTH CARE PERSONNEL; HEALTH CARE PRACTICE; HUMAN; HUMAN EXPERIMENT; MEDICAL RESEARCH; MEDICINE; NATURAL LANGUAGE PROCESSING; RECALL; SAMPLING; EDUCATION; EVIDENCE BASED MEDICINE; LITERATURE;

EID: 84973533393     PISSN: 13565524     EISSN: 14736810     Source Type: Journal    
DOI: 10.1136/ebmed-2016-110437     Document Type: Article
Times cited : (12)

References (16)
  • 2
    • 84927800663 scopus 로고    scopus 로고
    • Multi-center colonoscopy quality measurement utilizing natural language processing
    • Imler TD, Morea J, Kahi C, et al. Multi-center colonoscopy quality measurement utilizing natural language processing. Am J Gastroenterol 2015;110:543-52
    • (2015) Am J Gastroenterol , vol.110 , pp. 543-552
    • Imler, T.D.1    Morea, J.2    Kahi, C.3
  • 3
    • 84874422148 scopus 로고    scopus 로고
    • A new iterative method to reduce workload in systematic review process
    • Jonnalagadda S, Petitti D. A new iterative method to reduce workload in systematic review process. Int J Comput Biol Drug Des 2013;6:5-17
    • (2013) J Comput Biol Drug des , vol.6 , pp. 5-17
    • Jonnalagadda, S.1    Petitti, D.2
  • 4
    • 84908023692 scopus 로고    scopus 로고
    • Reducing systematic review workload through certainty-based screening
    • Miwa M, Thomas J, O'Mara-Eves A, et al. Reducing systematic review workload through certainty-based screening. J Biomed Inform 2014;51:242-53
    • (2014) J Biomed Inform , vol.51 , pp. 242-253
    • Miwa, M.1    Thomas, J.2    O'Mara-Eves, A.3
  • 5
    • 73949104490 scopus 로고    scopus 로고
    • Building an automated problem list based on natural language processing: Lessons learned in the early phase of development
    • Solti I, Aaronson B, Fletcher G, et al. Building an automated problem list based on natural language processing: lessons learned in the early phase of development. AMIA Annu Symp Proc 2008:687-91
    • (2008) AMIA Annu Symp Proc , pp. 687-691
    • Solti, I.1    Aaronson, B.2    Fletcher, G.3
  • 6
    • 84929334937 scopus 로고    scopus 로고
    • Automated clinical trial eligibility prescreening: Increasing the efficiency of patient identification for clinical trials in the emergency department
    • Ni Y, Kennebeck S, Dexheimer JW, et al. Automated clinical trial eligibility prescreening: increasing the efficiency of patient identification for clinical trials in the emergency department. J Am Med Inform Assoc 2015;22:166-78
    • (2015) J Am Med Inform Assoc , vol.22 , pp. 166-178
    • Ni, Y.1    Kennebeck, S.2    Dexheimer, J.W.3
  • 7
    • 84940054677 scopus 로고    scopus 로고
    • Automated systems for the de-identification of longitudinal clinical narratives: Overview of 2014 i2b2/UTHealth shared task Track
    • Stubbs A, Kotfila C, Uzuner Ö. Automated systems for the de-identification of longitudinal clinical narratives: overview of 2014 i2b2/UTHealth shared task Track. J Biomed Inform 2015;58(Suppl):S11-19
    • (2015) J Biomed Inform , vol.58 , pp. S11-19
    • Stubbs, A.1    Kotfila, C.2    Uzuner, Ö.3
  • 8
    • 34748824128 scopus 로고    scopus 로고
    • Generating executable knowledge for evidence-based medicine using natural language and semantic processing
    • Borlawsky T, Friedman C, Lussier YA. Generating executable knowledge for evidence-based medicine using natural language and semantic processing. AMIA Annu Symp Proc 2006:56-60
    • (2006) AMIA Annu Symp Proc , pp. 56-60
    • Borlawsky, T.1    Friedman, C.2    Lussier, Y.A.3
  • 9
    • 84937924687 scopus 로고    scopus 로고
    • Using text mining for study identification in systematic reviews: A systematic review of current approaches
    • O'Mara-Eves A, Thomas J, McNaught J, et al. Using text mining for study identification in systematic reviews: a systematic review of current approaches. Syst Rev 2015;4:5
    • (2015) Syst Rev , vol.4 , pp. 5
    • O'Mara-Eves, A.1    Thomas, J.2    McNaught, J.3
  • 10
    • 84875716734 scopus 로고    scopus 로고
    • A pilot study using machine learning and domain knowledge to facilitate comparative effectiveness review updating
    • Dalal SR, Shekelle PG, Hempel S, et al. A pilot study using machine learning and domain knowledge to facilitate comparative effectiveness review updating. Med Decis Making 2013;33:343-55
    • (2013) Med Decis Making , vol.33 , pp. 343-355
    • Dalal, S.R.1    Shekelle, P.G.2    Hempel, S.3
  • 11
    • 70349467729 scopus 로고    scopus 로고
    • What can natural language processing do for clinical decision support?
    • Demner-Fushman D, Chapman WW, McDonald CJ. What can natural language processing do for clinical decision support? J Biomed Inform 2009;42:760-72
    • (2009) J Biomed Inform , vol.42 , pp. 760-772
    • Demner-Fushman, D.1    Chapman, W.W.2    McDonald, C.J.3
  • 13
    • 34547275923 scopus 로고    scopus 로고
    • Improving the quality of natural language requirements specifications through natural language requirements patterns
    • Tjong SF, Hallam N, Hartley M. Improving the quality of natural language requirements specifications through natural language requirements patterns. In: null; 2006: IEEE. 2006:199
    • (2006) Null; 2006: IEEE , pp. 199
    • Tjong, S.F.1    Hallam, N.2    Hartley, M.3
  • 16
    • 84963815781 scopus 로고    scopus 로고
    • Building a natural language processing tool to identify patients with high clinical suspicion for Kawasaki disease from emergency department notes
    • Doan S, Maehara CK, Chaparro JD, et al. Building a natural language processing tool to identify patients with high clinical suspicion for Kawasaki disease from emergency department notes. Acad Emerg Med 2016;23:628-36
    • (2016) Acad Emerg Med , vol.23 , pp. 628-636
    • Doan, S.1    Maehara, C.K.2    Chaparro, J.D.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.