IOS Press Ebooks - Induction of Diagnostic Test Strategies with Multi-Level Information Measures (original) (raw)

Induction of Diagnostic Test Strategies with Multi-Level Information Measures

Authors

Cungen Cao, Tze-Yun Leong, Peng Kheong Leong

Pages

477 - 482

DOI

10.3233/978-1-60750-896-0-477

Series

Ebook

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.