title: A diagnostic methodology for hazy data with "borderline" cases.
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.
authors.affiliation: School of Health Administration, Texas State University, San Marcos, TX 78666, USA. rs25@txstate.edu
authors.forename: Ramalingam
authors.initials: R
authors.lastname: Shanmugam
mesh_terms: D000367:Age Factors; D000368:Aged; D001499:Bayes Theorem; D003704:Dementia / Q000175:diagnosis* / Q000453:epidemiology; D006801:Humans; D006973:Hypertension / Q000175:diagnosis* / Q000453:epidemiology; D015994:Incidence; D015233:Models, Statistical; D015995:Prevalence; D012372:ROC Curve; D018570:Risk Assessment; D012680:Sensitivity and Specificity