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Diagnosis of Alzheimer’s Disease Using Machine Learning Test phase, srs, design phase and source code final deliverable
Alzheimer’s disease is chronic condition that leads to degeneration of brain cells leading at memory loss. Patients with cognitive mental problems such as confusion and forgetfulness, also other symptoms including behavioral and psychological problems are further suggested having CT, MRI, PET, EEG, and other neuroimaging techniques.
The aim of this paper is making use of machine learning algorithms to process this data obtained by neuroimaging technologies for detection of Alzheimer’s in its primitive stage.
The workflow of the project is shown in the diagram below:
You can consult the following links for better understanding of the project: For dataset:
Research articles related to the projects:
You can use any of the following tools Matlab, Weka, Python
Name: Noureen Hameed