A new algorithm for deduction of time to detect Alzheimer's disease

A. Manimaran*, V. M. Chandrase

Abstract

Alzheimer’s disease basically leads to memory loss. People suffering from this disease tend to forget things that may had happened in recent past. For example they may not recognize their family members and neighbors or tends to forget about having regular activities. Many researchers proposed various algorithms to identify the disease at the early stage in a short period of time. In this paper, we suggest a new algorithm to reduce the time period for the screening of AD by means of a two-stage hybrid intelligent approach based on multi-neuropsychological rating scales analysis and with the knowledge of genetic algorithm.

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