Early Detection of Dementia Disease Using Machine Learning Approach

Early Detection of Dementia Disease Using Machine Learning Approach

Manihrii Krichena, Vetho Dawhuo, Dr. V Sai Shanmuha Raja, Dr. P.S Raja Kumar Gunasekaran

Dept. of Computer Science

Engineering

Dr. M.G.R Educational and Research Institute, Chennai, India

Abstract— Early dementia detection is a crucial but challenging task in Bangladesh. Often, dementia is not recognized until it is too late to receive effective care. This results in part from a lack of knowledge about the illness and its signs and symptoms. Recent improvements in machine learning algorithms, however, may change this. In a recent study, we developed a model that can identify early dementia in Bangladesh using machine learning algorithms. This research paper proposed an efficient machine learning-based approach for early detection of dementia disease A dataset of 199 people with dementia and 175 healthy controls was used to develop the model. In 96% of the cases, the algorithm correctly identified dementia. This is a significant accomplishment that could revolutionize Bangladesh's dementia detection process. For patients to get the care they require, early dementia detection is essential. This study offers a proof-of-concept for the use of machine learning in dementia early detection & The results of this study suggest that machine learning models can be used as a powerful tool for early detection of dementia.

 Index Terms—Dementia, Machine Learning, Prediction, Accuracy