한국데이터정보과학회:학술대회논문집
- 2001.10a
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- Pages.76-78
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- 2001
Selecting variables for evidence-diagnosis of paralysis disease using CHAID algorithm
Abstract
Variable selection in oriental medical research is considered. Decision tree analysis algorithms such as CHAID, CART, C4.5 and QUEST have been successfully applied to a medical research. Paralysis disease is a highly dangerous and murderous disease which accompanied with a great deal of severe physical handicap. In this paper, we explore the use of CHAID algorithm for selecting variables for evidence-diagnosis of paralysis, disease. Empirical results comparing our proposed method to the method using Wilks