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信息论在临床诊断测试中的应用综述

A Review of the Application of Information Theory to Clinical Diagnostic Testing.

作者信息

Benish William A

机构信息

Department of Internal Medicine, Case Western Reserve University, Cleveland, OH 44106, USA.

出版信息

Entropy (Basel). 2020 Jan 14;22(1):97. doi: 10.3390/e22010097.

DOI:10.3390/e22010097
PMID:33285872
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7516534/
Abstract

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 review the application of information theory to the quantification of diagnostic uncertainty, diagnostic information, and diagnostic test performance. An advantage of information theory functions over more established test performance measures is that they can be used when multiple disease states are under consideration as well as when the diagnostic test can yield multiple or continuous results. Since more than one diagnostic test is often required to help determine a patient's disease state, we also discuss the application of the theory to situations in which more than one diagnostic test is used. The total diagnostic information provided by two or more tests can be partitioned into meaningful components.

摘要

熵、相对熵和互信息的基本信息论函数可直接应用于临床诊断测试。这是因为个体的疾病状态和诊断测试结果是随机变量。在本文中，我们回顾了信息论在诊断不确定性、诊断信息和诊断测试性能量化方面的应用。与更成熟的测试性能指标相比，信息论函数的一个优势在于，当考虑多种疾病状态以及诊断测试可产生多个或连续结果时，它们都能适用。由于通常需要不止一项诊断测试来帮助确定患者的疾病状态，我们还讨论了该理论在使用多项诊断测试的情况下的应用。两项或更多测试提供的总诊断信息可被划分为有意义的组成部分。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0939/7516534/0e1b4252a251/entropy-22-00097-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0939/7516534/5936a81594a3/entropy-22-00097-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0939/7516534/c7d112a6a48f/entropy-22-00097-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0939/7516534/d2c47b59d9d9/entropy-22-00097-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0939/7516534/c7831adbedda/entropy-22-00097-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0939/7516534/c36b945721e6/entropy-22-00097-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0939/7516534/0e1b4252a251/entropy-22-00097-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0939/7516534/5936a81594a3/entropy-22-00097-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0939/7516534/c7d112a6a48f/entropy-22-00097-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0939/7516534/d2c47b59d9d9/entropy-22-00097-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0939/7516534/c7831adbedda/entropy-22-00097-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0939/7516534/c36b945721e6/entropy-22-00097-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0939/7516534/0e1b4252a251/entropy-22-00097-g006.jpg

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Brief Bioinform. 2016 May;17(3):494-504. doi: 10.1093/bib/bbv060. Epub 2015 Aug 5.
3
Precision medicine--personalized, problematic, and promising.精准医学——个性化、存在问题且充满希望。
Med Biol Eng Comput. 2022 Apr;60(4):941-955. doi: 10.1007/s11517-021-02494-9. Epub 2022 Feb 23.
4
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BMC Med Res Methodol. 2022 Feb 20;22(1):48. doi: 10.1186/s12874-022-01528-6.
5
Using information theory to optimize a diagnostic threshold to match physician-ordering practice.运用信息理论优化诊断阈值以匹配医生的医嘱实践。
J Biomed Inform. 2021 May;117:103756. doi: 10.1016/j.jbi.2021.103756. Epub 2021 Mar 22.
6
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7
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8
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Entropy (Basel). 2020 Jun 30;22(7):729. doi: 10.3390/e22070729.
N Engl J Med. 2015 Jun 4;372(23):2229-34. doi: 10.1056/NEJMsb1503104. Epub 2015 May 27.
4
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5
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J Eval Clin Pract. 2007 Jun;13(3):374-80. doi: 10.1111/j.1365-2753.2006.00710.x.
8
Mutual information as an index of diagnostic test performance.互信息作为诊断试验性能指标。
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9
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10
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