Please use this identifier to cite or link to this item:
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
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

checked on Nov 24, 2022

Google ScholarTM


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.