A Review of the Application of Information Theory to Clinical Diagnostic Testing
The fundamental information theory functions of entropy, relative entropy, and mutual information are directly applicable to clinical diagnostic testing. This is a consequence of the fact that an individual’s disease state and diagnostic test result are random variables. In this paper, we...
Main Author: | William A. Benish |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2020-01-01
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Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/22/1/97 |
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