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Volumn 1620, Issue , 1999, Pages 361-365

Diagnostic rules of increased reliability for critical medical applications

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; DECISION MAKING; DISEASES; MEDICAL APPLICATIONS;

EID: 84956855492     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-48720-4_39     Document Type: Conference Paper
Times cited : (4)

References (7)
  • 2
    • 84948983414 scopus 로고
    • A minimization approach to propositional inductive learning
    • Springer Lecture Notes in AI 912
    • D. Gamberger (1995) A minimization approach to propositional inductive learning. In Proc. Eighth European Conference on Machine Learning, 151-160, Springer Lecture Notes in AI 912.
    • (1995) Proc. Eighth European Conference on Machine Learning , pp. 151-160
    • Gamberger, D.1
  • 3
    • 0006899493 scopus 로고
    • New measurements highlight the importance of redundant knowledge
    • Pitman
    • M. Gams (1989) New measurements highlight the importance of redundant knowledge. In Proc. European Working Session on Learning, 71-80. Pitman.
    • (1989) Proc. European Working Session on Learning , pp. 71-80
    • Gams, M.1
  • 4
    • 0031363185 scopus 로고    scopus 로고
    • Machine learning improves the accuracy of coronary artery disease diagnostic methods
    • C. Grošelj, M. Kukar, J.J. Fetich and I. Kononenko (1997) Machine learning improves the accuracy of coronary artery disease diagnostic methods. Computers in Cardiology, 24:57-60.
    • (1997) Computers in Cardiology , vol.24 , pp. 57-60
    • Grošelj, C.1    Kukar, M.2    Fetich, J.J.3    Kononenko, I.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.