# A National Big Data Analysis on Alzheimer’s and Other Dementias in Türkiye

## TL;DR

This study uses big data to analyze Alzheimer's and dementias in Türkiye, showing the need for smart systems to better understand and diagnose these complex conditions.

## Contribution

The study demonstrates the complexity of Alzheimer's and dementias using a large dataset and logistic regression models in Türkiye.

## Key findings

- Alzheimer's and dementias are complex with biological, mental, and social dimensions.
- Generalized diagnostic criteria may not be sufficient for understanding Alzheimer's in society.
- Technology-based smart systems can help determine the appearance and boundaries of Alzheimer's.

## Abstract

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.

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.

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.

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.