Introduction Scientific and technological advances are emphasizing biomarker‐driven studies to diagnose, classify, and predict the pathogenesis of Alzheimer’s disease (AD) and dementias (Ds) with the development of intelligent systems during these symptom‐free years. Methods In this study, the data of people over 65 who were diagnosed with AD/D in 2020 were retrospectively scanned, and the data of 243,073 people identified were analyzed on a total of 32 variables, 6 of which were dependent variables and 26 were independent variables. Results It is understood from the logistic regression (LR) models that AD/D is a multilayered and extraordinarily complex condition with biological, mental, and social dimensions rather than a single variable or parameter. Discussion As a main result of the study, it is understood that instead of generalized diagnostic criteria, the appearance and boundaries of AD in society can be determined with specialized technology‐based smart systems.
YİĞİT et al. (Thu,) studied this question.