Probabilistic rule induction from a medical research study database

Computers and Biomedical Research

Volumn 29, Issue 4, 1996, Pages 271-283

  Clarke, Ellis J ^a   Waclawiw, Myron A ^b  

^a MARYLAND MEDICAL RESEARCH INSTITUTE   (United States)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; DATA BASE; MEDICAL RESEARCH; PRIORITY JOURNAL;

EID: 0030218974     PISSN: 00104809     EISSN: None     Source Type: Journal    
DOI: 10.1006/cbmr.1996.0020     Document Type: Article

References (13)

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3. 3. CLARKE, E., AND BARTON, B. Knowledge Discovery in Databases Using an Artificial Neural Network. In "Proc. of 1st International Conference on Information and Knowledge Management" (Y. Yesha, Ed.), p. 659. ISMM Press, 1992.
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8. 8. ALNAHI, H., AND ALSHAWI, S. Knowledge Discovery in Biomedical Databases: A Machine Induction Approach. Comput. Methods Programs Biomed. 39, 343-349 (1993).
9. 9. SMYTH, P., AND GOODMAN, R. M. An Information Theoretic Approach to Rule Induction from Databases. IEEE Trans. Knowledge Data Eng. 4, 301-316 (1992).
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11. 11. National Heart, Lung, and Blood Institute Growth and Health Study Research Group. Obesity and Cardiovascular Disease Risk Factors in Black and White Girls: The NHLBI Growth and Health Study, Am. J. Public Health 82, 1613-1620 (1992).
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13. 13. BLACKMAN, N. The Amount of Information That Y Gives About X. IEEE Trans. Inf. Theory 14, 27-31 (1968).