FUZZY PREDICTION OF INCIPIENT ALZHEIMER’S DISEASE CASES FROM MILD COGNITIVE IMPAIRED CASES

Naturally, aging impedes all the functional systems of the body. However, the severity and time of manifestation of these changes differ and due to the effect of both epigenetics and heredity factors. Alzheimer's disease (AD) which can be defined as a pathological lost of memory and cognitive abilities as a result of brain degeneration, injury to the brain or actions of protein biomarkers is the concern of this paper. We presents a fuzzy criteria for the identification and prediction (prognosis) of acute cognitive impairment cases from mild impaired cases based on the distance values determined between ions generated by Mass Spectrometer surface enhanced laser desorption/ionization assay procedures. The result obtained augments current clinical techniques by way of introducing additional use of Mass Spectra data. It also solves the problems associated with diagnosing AD through longitudinal follow-up practices and bridges the gap between protein biomarkers discovery and AD diagnosis.