Please use this identifier to cite or link to this item: https://doi.org/10.3233/978-1-60750-896-0-477
Title: Induction of diagnostic test strategies with multi-level information measures
Authors: Cao, C. 
Leong, T.-Y. 
Leong, P.K.
Keywords: Decision Tree
K-Level Case Abstraction
K-level Information Meaure
Test Strategy Tree
Issue Date: 1998
Citation: Cao, C.,Leong, T.-Y.,Leong, P.K. (1998). Induction of diagnostic test strategies with multi-level information measures. Studies in Health Technology and Informatics 52 : 477-482. ScholarBank@NUS Repository. https://doi.org/10.3233/978-1-60750-896-0-477
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. © 1998 IMIA. All rights reserved.
Source Title: Studies in Health Technology and Informatics
URI: http://scholarbank.nus.edu.sg/handle/10635/99540
ISBN: 9051994079
ISSN: 09269630
DOI: 10.3233/978-1-60750-896-0-477
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