메뉴 건너뛰기




Volumn 19, Issue 4, 2012, Pages 529-532

Visualizing the operating range of a classification system

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ARTICLE; CLASSIFICATION; COMPARATIVE STUDY; MATHEMATICAL ANALYSIS; PREVALENCE; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY;

EID: 84865166886     PISSN: 10675027     EISSN: 1527974X     Source Type: Journal    
DOI: 10.1136/amiajnl-2011-000633     Document Type: Article
Times cited : (4)

References (18)
  • 1
    • 0018079655 scopus 로고
    • Basic principles of ROC analysis
    • Metz CE. Basic principles of ROC analysis. Semin Nucl Med 1978;8:283-98.
    • (1978) Semin Nucl Med , vol.8 , pp. 283-298
    • Metz, C.E.1
  • 2
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristic (ROC) curve
    • Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982;143:29-36.
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 3
    • 0018390029 scopus 로고
    • ROC analysis applied to the evaluation of medical imaging techniques
    • Swets JA. ROC analysis applied to the evaluation of medical imaging techniques. Invest Radiol 1979;14:109-21.
    • (1979) Invest Radiol , vol.14 , pp. 109-121
    • Swets, J.A.1
  • 4
    • 69549133517 scopus 로고    scopus 로고
    • Measuring classifier performance: a coherent alternative to the area under the ROC curve
    • Hand DJ. Measuring classifier performance: a coherent alternative to the area under the ROC curve. Mach Learn 2009;77:103-23.
    • (2009) Mach Learn , vol.77 , pp. 103-123
    • Hand, D.J.1
  • 6
    • 70349246101 scopus 로고
    • Evaluating message understanding systems: an analysis of the Third Message Understanding Conference (MUC-3)
    • (accessed 10 Jan 2012)
    • Chinchor N, Hirschman L, Lewis DD. Evaluating message understanding systems: an analysis of the Third Message Understanding Conference (MUC-3). Comput Ling 1993;19:409-49. http://www.ldc.upenn.edu/acl/J/J93/J93-3001.pdf (accessed 10 Jan 2012).
    • (1993) Comput Ling , vol.19 , pp. 409-449
    • Chinchor, N.1    Hirschman, L.2    Lewis, D.D.3
  • 7
    • 18044385763 scopus 로고    scopus 로고
    • Agreement, the F-measure, and reliability in information retrieval
    • Hripcsak G, Rothschild AS. Agreement, the F-measure, and reliability in information retrieval. J Am Med Inform Assoc 2005;12:296-8.
    • (2005) J Am Med Inform Assoc , vol.12 , pp. 296-298
    • Hripcsak, G.1    Rothschild, A.S.2
  • 8
    • 0016750401 scopus 로고
    • Measuring agreement between two judges on the presence or absence of a trait
    • Fleiss JL. Measuring agreement between two judges on the presence or absence of a trait. Biometrics 1975;31:651-9.
    • (1975) Biometricsx , vol.31 , pp. 651-659
    • Fleiss, J.L.1
  • 9
    • 0036433101 scopus 로고    scopus 로고
    • Measuring agreement in medical informatics reliability studies
    • Hripcsak G, Heitjan D. Measuring agreement in medical informatics reliability studies. J Biomed Inform 2002;35:99-110.
    • (2002) J Biomed Inform , vol.35 , pp. 99-110
    • Hripcsak, G.1    Heitjan, D.2
  • 10
    • 21544453050 scopus 로고    scopus 로고
    • Automated detection of adverse events using natural language processing in discharge summaries
    • Melton GB, Hripcsak G. Automated detection of adverse events using natural language processing in discharge summaries. J Am Med Inform Assoc 2005;12:448-57.
    • (2005) J Am Med Inform Assoc , vol.12 , pp. 448-457
    • Melton, G.B.1    Hripcsak, G.2
  • 11
    • 80052063328 scopus 로고    scopus 로고
    • Automated identification of postoperative complications within an electronic medical record using natural language processing
    • Murff HJ, FitzHenry F, Matheny ME, et al. Automated identification of postoperative complications within an electronic medical record using natural language processing. JAMA 2011;306:848-55.
    • (2011) JAMA , vol.306 , pp. 848-855
    • Murff, H.J.1    FitzHenry, F.2    Matheny, M.E.3
  • 13
    • 80053260063 scopus 로고    scopus 로고
    • Text mining for the vaccine adverse event reporting system: medical text classification using informative feature selection
    • Botsis T, Nguyen MD, Woo EJ, et al. Text mining for the vaccine adverse event reporting system: medical text classification using informative feature selection. J Am Med Inform Assoc 2011;18:631-8.
    • (2011) J Am Med Inform Assoc , vol.18 , pp. 631-638
    • Botsis, T.1    Nguyen, M.D.2    Woo, E.J.3
  • 15
    • 79959660993 scopus 로고    scopus 로고
    • The application of naive Bayes' model averaging to predict Alzheimer's disease from genome-wide data
    • Wei W, Visweswaran S, Cooper GF. The application of naive Bayes' model averaging to predict Alzheimer's disease from genome-wide data. J Am Med Inform Assoc 2011;18:370-5.
    • (2011) J Am Med Inform Assoc , vol.18 , pp. 370-375
    • Wei, W.1    Visweswaran, S.2    Cooper, G.F.3
  • 16
    • 0000382835 scopus 로고
    • A non-parametric analysis of recognition experiementsx
    • Pollack I, Norman DA. A non-parametric analysis of recognition experiements. Psychon Sci 1964;1:125-6.
    • (1964) Psychon Sci , vol.1 , pp. 125-126
    • Pollack, I.1    Norman, D.A.2
  • 17
    • 0039516305 scopus 로고
    • A comparison of data obtained with different false-alarm rates
    • Norman DA. A comparison of data obtained with different false-alarm rates. Psychol Rev 1964;71:243-6.
    • (1964) Psychol Rev , vol.71 , pp. 243-246
    • Norman, D.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.