Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/99314
Title: Induction of diagnostic test strategies with multi-level information measures.
Authors: Cao, C. 
Leong, T.Y. 
Leong, P.K.
Issue Date: 1998
Citation: Cao, C.,Leong, T.Y.,Leong, P.K. (1998). Induction of diagnostic test strategies with multi-level information measures.. Medinfo. MEDINFO 9 Pt 1 : 477-482. ScholarBank@NUS Repository.
Abstract: This paper presents a method for inducing clinical diagnostic test protocols or strategies from data. We represent testing strategies as a strategy tree. To support induction of strategy tree, we define three information measures: K-level information, K-level information gain, K-level gain ratio, and K-level cost index, for test selection during strategy building. These measures generalize Quinlan's information measures used in decision tree induction. We present theoretical and experimental results to show that the K-level cost index can be used to induce strategy trees in a practical domain.
Source Title: Medinfo. MEDINFO
URI: http://scholarbank.nus.edu.sg/handle/10635/99314
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