A prevailing disease which strikes a multitude of people in the present era is Alzheimer’s Disease. Alzheimer’s Disease is a neurodegenerative disorder that causes the death of brain cells destroying memory and thinking abilities gradually. To limit the number of Alzheimer’s illness, a few frameworks have been recommended to some extent in recent times. One such computer aided framework is the use of machine learning for the digital diagnosis of Alzheimer’s. Machine Learning recognizes the extent of certain diseases and informs the experts about the irregularities. This paper investigates the application of Machine Learning models in Alzheimer’s Disease detection.
CITATION STYLE
Hemavathi, N. L., Aditya, C. R., & Shashank, N. (2022). A Survey on Alzheimer’s Disease Detection Using Machine Learning Models. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 126, pp. 659–664). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-981-19-2069-1_45
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