Analysing various algorithms applied to Alzheimer’s disease dataset to help the Future Generation

Athinarayanan, S. and Navaz, K. and P, Tamilselvi. and J, Shajeena and V, Vishwa Priya and Joel, M. Robinson (2024) Analysing various algorithms applied to Alzheimer’s disease dataset to help the Future Generation. In: 2024 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE), Bangalore, India.

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Abstract

A sort of brain illness that affects the brain is Alzheimer's. Nowadays, older adults are more likely to have these ailments. People who have this illness have very poor memories and decreased memory. Additionally, their brain isn't working correctly. As a result, their regular practice is progressively beginning to decline. Alzheimer's is a kind of dementia for which there is no definitive treatment. This essay will help us learn more about Alzheimer's illness. We shall learn more about its causes, symptoms, and remedies. Additionally, we investigate several illness prediction methods employing Graph Neural Networks denoted as GNNs. Decision Tree, Random Forest algorithms, and more. However, the Random forest classifier gave good results with 86% accuracy and good recall values.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science Engineering > Algorithms
Divisions: Computer Science
Depositing User: Mr IR Admin
Date Deposited: 09 Oct 2024 10:34
Last Modified: 09 Oct 2024 10:34
URI: https://ir.vistas.ac.in/id/eprint/9582

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