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Volumn 1, Issue , 2003, Pages 388-391

Data Mining Based-Assistant Tools for Physicians to Diagnose Diseases

Author keywords

[No Author keywords available]

Indexed keywords

DIAGNOSIS; MEDICAL APPLICATIONS;

EID: 85093655082     PISSN: 15483746     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MWSCAS.2003.1562300     Document Type: Conference Paper
Times cited : (3)

References (13)
  • 2
    • 85150683012 scopus 로고    scopus 로고
    • www.narmadakidney.org/kidney_failure.html.
  • 3
    • 85150683548 scopus 로고    scopus 로고
    • www.niddk.nih.gov/health/kidney/kidney.html.
  • 4
    • 85150676949 scopus 로고    scopus 로고
    • www.medmic02.wnmeds.ac.nz/groups/rmo/chest_pain
  • 5
    • 85150682074 scopus 로고    scopus 로고
    • www.angelfire.com/il/Midwestern/chest.html.
  • 6
    • 85150680821 scopus 로고    scopus 로고
    • www.med.usf.edu/FAMILY/chest_pain/case1html.
  • 10
    • 0002431740 scopus 로고    scopus 로고
    • Automatic construction of decision trees from data: A multidisciplinary survey
    • S. K. Murthy, “Automatic construction of decision trees from data: A multidisciplinary survey”. Data mining and knowledge discovery, vol. 2, pp. 345-389, 1998.
    • (1998) Data mining and knowledge discovery , vol.2 , pp. 345-389
    • Murthy, S.K.1
  • 11
    • 85150676628 scopus 로고    scopus 로고
    • Families of splitting criteria for classification trees
    • Y. Shin, Families of splitting criteria for classification trees. Statistics and Computing, 2000.
    • (2000) Statistics and Computing
    • Shin, Y.1
  • 12
    • 0038064972 scopus 로고    scopus 로고
    • Artificial neural networks - a science in trouble
    • A. Roy, Artificial neural networks - a science in trouble. SIGKDD Exploration, vol.1, 2000, pp.33-38.
    • (2000) SIGKDD Exploration , vol.1 , pp. 33-38
    • Roy, A.1
  • 13
    • 27144536001 scopus 로고    scopus 로고
    • Extension to the K-means algorithm for clustering large data sets with categorical values
    • Z. Huang, “Extension to the K-means algorithm for clustering large data sets with categorical values”. Data mining and knowledge discovery, vol. 2, pp. 283-304, 1998.
    • (1998) Data mining and knowledge discovery , vol.2 , pp. 283-304
    • Huang, Z.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.