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|Title:||Induction of diagnostic test strategies with multi-level information measures.||Authors:||Cao, C.
|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|
|Appears in Collections:||Staff Publications|
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