Entropy and information content of laboratory test results.


Journal Article

This article introduces the use of information theoretic concepts such as entropy, S, for the evaluation of laboratory tests results, and it offers a new measure of information, 1 - S, which tells us just how far toward certainty a laboratory test result can predict a binary outcome. The derived method is applied to the serum markers troponin I and prostate-specific antigen and to histologic grading of HER-2/neu staining, to cytologic diagnosis of cervical specimens, and to the measurement of tumor thickness in malignant melanoma. Not only do the graphic results provide insight for these tests, they also validate prior conclusions. Thus, this information theoretic approach shows promise for evaluating and understanding laboratory test results.

Full Text

Duke Authors

Cited Authors

  • Vollmer, RT

Published Date

  • January 1, 2007

Published In

Volume / Issue

  • 127 / 1

Start / End Page

  • 60 - 65

PubMed ID

  • 17145629

Pubmed Central ID

  • 17145629

International Standard Serial Number (ISSN)

  • 0002-9173

Digital Object Identifier (DOI)

  • 10.1309/H1F0WQW44F157XDU


  • eng

Conference Location

  • England