An Expert-Guided Decision Tree Construction Strategy: An Application in Knowledge Discovery with Medical Databases

Journal of the American Medical Informatics Association

Volumn 4, Issue SUPPL., 1997, Pages 208-211

  Tsai, Yuh Show ^a   King, Paul H ^a,b   Higgins, Michael S ^b   Pierce, Donald ^b   Patel, Nimesh P ^b  

^a VANDERBILT UNIVERSITY   (United States)

^b VANDERBILT UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; DATA BASE; DECISION TREE; SENSITIVITY AND SPECIFICITY; TECHNIQUE;

ALGORITHMS; DATABASES; DECISION TREES; METHODS; SENSITIVITY AND SPECIFICITY;

EID: 0347210487     PISSN: 10675027     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (7)

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2. Dezelic, G. and J. Kern. Inductive Learning as a Method for Medical Decision Making. Proceedings of Medical Informatics Europe 1991 321-331, 1991.
3. Fayyad, U., G. Piatetsky-Shapiro, and P. Smyth. From Data Mining to knowledge Discovery in Databases. AI Magazine 37-54, 1996.
4. Brachman, R. and T. Anand. The Process of Knowledge Discovery in Databases: Ahuman-Centered Approach. In: Advances in Knowledge Discovery and Data Mining, edited by U. Fayyad, G. Piatetsky-Shapiro, and P. Smyth. Menlo Park, Calif. AAAI Press, 1996, 37-58.
5. Hunt, E. B., J. Marin, and P. J. Stone. Experiments in Induction. New York: Academic Press, 1966.
6. Breiman, L., J. H. Friedman, R. A. Olshen, and C. J. Stone. Classfication and Regression Trees. Belmont, CA: Waddworth International Group, 1984.
7. Quinlan, J. R. C4.5: Programs for Machine Learning. San Mateo, CA: Morgan Kaufmann, 1993.