Carleton University - School of Computer Science Honours Project
Fall 2020
Predicting Dementia with Random Forest Decision Tree
Prakriti Kharel
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ABSTRACT
Dementia is a degenerative disease that severely affects the parts of the brain responsible for memory, mood, language, and problem-solving interfering gravely with an individual and their family’s daily life. Although there are treatments available to alleviate the symptoms, there is no cure that exists for this disease. As of now, it is not possible to predict the likeliness of develop- ing dementia, however, by examining various clinical and non-clinical factors such as a person’s age, lifestyle, health conditions, MRI scans, etc, we can identify whether an individual is at high risk or low risk of developing dementia. Doctors currently use various clinical examinations to identify whether an individual has dementia or not. The primary objective of this project is to build an AI-based application that can predict whether an individual is at high risk or low risk of developing dementia with high accuracy. This application can also be used by doctors to predict whether a patient has dementia at its earliest stage so that the treatments can be started early and the rapid growth of the disease can be slowed down.