메뉴 건너뛰기




Volumn 3337, Issue , 2004, Pages 235-242

Domain-specific particularities of data mining: Lessons learned

Author keywords

Epidemiology; Genomic medicine medicine; Genomics; Knowledge discovery in databases; Medical data analysis; Medical data mining; Medical statistics

Indexed keywords

DATA HANDLING; EPIDEMIOLOGY; GENES; INFORMATION ANALYSIS; MEDICAL COMPUTING; MEDICAL EDUCATION; STATISTICS;

EID: 34249828789     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30547-7_24     Document Type: Article
Times cited : (3)

References (37)
  • 1
    • 0002433547 scopus 로고    scopus 로고
    • From Data Mining to Knowledge Discovery: An Overview
    • Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., and Uthurusamy, R. (eds.), AAAI Press/The MIT Press, Menlo Park, California
    • Fayyad, U., Piatetsky-Shapiro, G., and Smyth P. (1996), "From Data Mining to Knowledge Discovery: An Overview", In: Fayyad, U., Piatetsky-Shapiro, G., Smyth, P., and Uthurusamy, R. (eds.), Advances in Knowledge Discovery and Data Mining, pp. 1-34. AAAI Press/The MIT Press, Menlo Park, California.
    • (1996) Advances in Knowledge Discovery and Data Mining , pp. 1-34
    • Fayyad, U.1    Piatetsky-Shapiro, G.2    Smyth, P.3
  • 3
    • 0004077436 scopus 로고    scopus 로고
    • Cios, K. and Kacprzyk, J. (Eds.) Springer Verlag, New York, USA
    • Cios, K. and Kacprzyk, J. (Eds.) (2001), Medical Data Mining and Knowledge Discovery, Springer Verlag, New York, USA.
    • (2001) Medical Data Mining and Knowledge Discovery
  • 5
    • 35048844061 scopus 로고    scopus 로고
    • A Survey of Data Mining in Medicine. Methods and Limitations
    • Keynote speech at Frankfurt
    • Maojo, V. (2000), "A Survey of Data Mining in Medicine. Methods and Limitations", Keynote speech at ISMDA 2000, Frankfurt.
    • (2000) ISMDA 2000
    • Maojo, V.1
  • 8
    • 0034922742 scopus 로고    scopus 로고
    • Machine learning for medical diagnosis: History, state of the art and perspective
    • Aug
    • Kononenko, L: Machine learning for medical diagnosis: history, state of the art and perspective. Artif Intell Med 2001 Aug;23(1):89-109.
    • (2001) Artif Intell Med , vol.23 , Issue.1 , pp. 89-109
    • Kononenko, L.1
  • 9
    • 0032895111 scopus 로고    scopus 로고
    • Selected techniques for data mining in medicine
    • May
    • Lavrac N.: Selected techniques for data mining in medicine. Artif Intell Med. 1999 May;16(1):3-23.
    • (1999) Artif Intell Med , vol.16 , Issue.1 , pp. 3-23
    • Lavrac, N.1
  • 10
    • 0032894896 scopus 로고    scopus 로고
    • Data mining techniques and applications in medicine
    • May
    • Zupan B, Lavrac N, Keravnou E. Data mining techniques and applications in medicine. Artif Intell Med. 1999 May;16(1):1-2
    • (1999) Artif Intell Med , vol.16 , Issue.1 , pp. 1-2
    • Zupan, B.1    Lavrac, N.2    Keravnou, E.3
  • 11
    • 0036127092 scopus 로고    scopus 로고
    • A review of evidence of health benefit from Artificial Neural Networks in medical intervention
    • Lisboa, PJG.: A review of evidence of health benefit from Artificial Neural Networks in medical intervention., Neural Networks 2002, 15, 11-39.
    • (2002) Neural Networks , vol.15 , pp. 11-39
    • Lisboa, P.J.G.1
  • 13
    • 0015515482 scopus 로고
    • Time oriented patient records and a computer data bank
    • Fries J: Time oriented patient records and a computer data bank. JAMA 1972; 222:1436-1542.
    • (1972) JAMA , vol.222 , pp. 1436-1542
    • Fries, J.1
  • 22
    • 0036755111 scopus 로고    scopus 로고
    • Bayesian learning for cardiac SPECT image interpretation
    • Sep-Oct
    • Sacha JP, Goodenday LS, Cios KJ.: Bayesian learning for cardiac SPECT image interpretation. Artif Intell Med 2002 Sep-Oct;26(1-2):109-143.
    • (2002) Artif Intell Med , vol.26 , Issue.1-2 , pp. 109-143
    • Sacha, J.P.1    Goodenday, L.S.2    Cios, K.J.3
  • 25
    • 0032533761 scopus 로고    scopus 로고
    • A comparison of statistical learning methods on the Gusto database
    • Nov 15
    • Ennis M, Hinton G, Naylor D, Revow M, Tibshirani R.: A comparison of statistical learning methods on the Gusto database.Stat Med. 1998 Nov 15; 17(21):2501-8.
    • (1998) Stat Med , vol.17 , Issue.21 , pp. 2501-2508
    • Ennis, M.1    Hinton, G.2    Naylor, D.3    Revow, M.4    Tibshirani, R.5
  • 26
    • 0019866183 scopus 로고
    • An Analysis of Physician Attitudes regarding Computer-Based Clinical Computation Systems
    • Teach, R.L. and Shortliffe, E.H. (1981), An Analysis of Physician Attitudes regarding Computer-Based Clinical Computation Systems, Computers and Biomédical Research, 14 (6):542-558.
    • (1981) Computers and Biomédical Research , vol.14 , Issue.6 , pp. 542-558
    • Teach, R.L.1    Shortliffe, E.H.2
  • 27
    • 0034926537 scopus 로고    scopus 로고
    • AIM portraits: Tracing the evolution of artificial intelligence in medicine and predicting its future in the new millennium
    • Aug
    • Keravnou E., Lavrac, N.: AIM portraits: tracing the evolution of artificial intelligence in medicine and predicting its future in the new millennium. Artif Intell Med. 2001 Aug;23(1):1-4.
    • (2001) Artif Intell Med , vol.23 , Issue.1 , pp. 1-4
    • Keravnou, E.1    Lavrac, N.2
  • 28
    • 0034728368 scopus 로고    scopus 로고
    • On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology
    • Feb 29
    • Schwarzer G, Vach W, Schumacher M:. On the misuses of artificial neural networks for prognostic and diagnostic classification in oncology. Stat Med. 2000 Feb 29;19(4):541-61.
    • (2000) Stat Med , vol.19 , Issue.4 , pp. 541-561
    • Schwarzer, G.1    Vach, W.2    Schumacher, M.3
  • 29
    • 35048820338 scopus 로고    scopus 로고
    • A Clustering-Based Constructive Induction Method and its Application to Rheumatoid Arthritis
    • S. Quaglini, P. Barahona and S. Andreassen (Eds)
    • Sanandrés, J., Maojo, V., Crespo, J., and Gomez, A.: A Clustering-Based Constructive Induction Method and its Application to Rheumatoid Arthritis. In S. Quaglini, P. Barahona and S. Andreassen (Eds). Proc. of Artificial Intelligence in Medicine 2001
    • Proc. of Artificial Intelligence in Medicine 2001
    • Sanandrés, J.1    Maojo, V.2    Crespo, J.3    Gomez, A.4
  • 30
    • 0033879297 scopus 로고    scopus 로고
    • Knowledge discovery from data?
    • Pazzani, M. Knowledge discovery from data? IEEE Intelligent Systems 15(2): 10-13 (2000)
    • (2000) IEEE Intelligent Systems , vol.15 , Issue.2 , pp. 10-13
    • Pazzani, M.1
  • 32
    • 0035551916 scopus 로고    scopus 로고
    • Medical informatics and bioinformatics: European efforts to facilitate synergy
    • Maojo, V., Iakovidis, L, Martín F., Crespo, J. and Kulikowski, C.: Medical informatics and bioinformatics: European efforts to facilitate synergy. J Biomed Inform 2001,34(6):423-7.
    • (2001) J Biomed Inform , vol.34 , Issue.6 , pp. 423-427
    • Maojo, V.1    Iakovidis, L.2    Martín, F.3    Crespo, J.4    Kulikowski, C.5
  • 35
    • 0034659819 scopus 로고    scopus 로고
    • Rules for research on human genetic variation-lessons from Iceland
    • Jun 15
    • Annas GJ.: Rules for research on human genetic variation-lessons from Iceland. N Engl J Med 2000 Jun 15;342(24): 1830-3.
    • (2000) N Engl J Med , vol.342 , Issue.24 , pp. 1830-1833
    • Annas, G.J.1
  • 36
    • 0034891848 scopus 로고    scopus 로고
    • Integrative data mining: The new direction in bioinformatics
    • Jul-Aug
    • Bertone P, and Gerstein M.: Integrative data mining: the new direction in bioinformatics. IEEE Eng Med Biol Mag. 2001 Jul-Aug;20(4):33-40.
    • (2001) IEEE Eng Med Biol Mag , vol.20 , Issue.4 , pp. 33-40
    • Bertone, P.1    Gerstein, M.2
  • 37
    • 0036452955 scopus 로고    scopus 로고
    • Challenges for future intelligent systems in biomedicine
    • Maojo, V., and Crespo, J.: Challenges for future intelligent systems in biomedicine. Journal of Intelligent and Fuzzy Systems 12 (1): 1-3 (2002).
    • (2002) Journal of Intelligent and Fuzzy Systems , vol.12 , Issue.1 , pp. 1-3
    • Maojo, V.1    Crespo, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.