A Diagnostic Methodology for Hazy Data with “Borderline” Cases
- 57 Downloads
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.
KeywordsSensitivity Specificity Disease prevalence Three ways ROC Excessive risk Bayes’ rule
- 1.Hendrie, H., Osuntokun, B., Hall, K., Ogunniyi, A., Hui, S., Unverzagt, F. et al., The prevalence of Alzheimer’s disease and dementia in two countries of Nigerian Africans and African Americans. Am. J. Geriatr. Psychiatry. 152:1485–1492, 1995.Google Scholar
- 2.Lawal, H. B., and Upton, G. J. G., Alternative interaction structures in square contingency table having ordered classificatory variables. Qual. Quant. 24:107–127, 1996.Google Scholar
- 5.Youden, W. J., Index rating for diagnostic tests. Cancer. 3:32–35, 1950. doi: 10.1002/1097-0142(1950)3:1<32::AID-CNCR2820030106>3.0.CO;2-3.CrossRefGoogle Scholar