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Volumn 5651 LNAI, Issue , 2009, Pages 116-125

Conversational case-based reasoning in medical classification and diagnosis

Author keywords

Accuracy; Case based reasoning; Classification; Diagnosis; Explanation; Feature selection; Transparency

Indexed keywords

ACCURACY; CASE-BASED REASONING APPROACHES; CBR; CLASSIFICATION; DATA SETS; EXPLANATION; FEATURE SELECTION; INTERACTIVE APPROACH; K-NN CLASSIFIER; MEDICAL CLASSIFICATION; USER NEED;

EID: 70350216054     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02976-9_16     Document Type: Conference Paper
Times cited : (5)

References (15)
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  • 3
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    • McSherry, D.: Explaining the Pros. and Cons. of Conclusions in CBR. In: Funk, P., Gonzalez Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), 3155, pp. 317-330. Springer, Heidelberg (2004)
    • McSherry, D.: Explaining the Pros. and Cons. of Conclusions in CBR. In: Funk, P., Gonzalez Calero, P.A. (eds.) ECCBR 2004. LNCS (LNAI), vol. 3155, pp. 317-330. Springer, Heidelberg (2004)
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  • 10
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    • Evaluating CBR Systems Using Different Data Sources: A Case Study
    • Roth-Berghofer, T.R, Göker, M.H, Güvenir, H.A, eds, ECCBR 2006, Springer, Heidelberg
    • Gu, M., Aamodt, A.: Evaluating CBR Systems Using Different Data Sources: a Case Study. In: Roth-Berghofer, T.R., Göker, M.H., Güvenir, H.A. (eds.) ECCBR 2006. LNCS (LNAI), vol. 4106, pp. 121-135. Springer, Heidelberg (2006)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.