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Journal of Medical Systems

, Volume 34, Issue 2, pp 161–177 | Cite as

A Diagnostic Methodology for Hazy Data with “Borderline” Cases

  • Ramalingam Shanmugam
Original Paper
  • 57 Downloads

Abstract

Several illnesses like the hypertension, the dementia among others in reality contain borderline cases. These “borderline” (alternately mentioned hazy) cases are neither labeled healthy nor diseased by the medical professionals. Consequently, the current diagnostic test methodology is inappropriate for data with the borderline cases. A new methodology is greatly needed to analyze and interpret diagnostic test data with the borderline cases. In this article, a new methodology is therefore developed, discussed, and illustrated. The medical parameters: the sensitivity, the specificity, and the disease prevalence of the sampled participants are calculated and interpreted using the new methodology with data on borderline dementia and blood pressure cases separately.

Keywords

Sensitivity Specificity Disease prevalence Three ways ROC Excessive risk Bayes’ rule 

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Copyright information

© Springer Science+Business Media, LLC 2008

Authors and Affiliations

  1. 1.School of Health AdministrationTexas State UniversitySan MarcosUSA

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