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Title: :  An Early Prediction and Detection of Alzheimer's Disease
PaperId: :  17710
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 8 Issue 4 2022
DUI:    16.0415/IJARIIE-17710
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Jenny ThomasIES College of Engineering, Thrissur , Kerala
Dini DavisIES College of Engineering, Thrissur , Kerala
Dr.G. KiruthigaIES College of Engineering, Thrissur , Kerala

Abstract

Computer Engineering
Alzheimer’s Disease, Machine Learning, Support vector machine, , Decision Tree, Logistic regression, and Random forest
One of the main worries recently has been Alzheimer's illness. This illness affects over 45 million people worldwide. Alzheimer's is a degenerative brain illness that primarily affects older people and has an unknown cause and pathogenesis. Dementia, which gradually kills brain cells, is the primary cause of Alzheimer's disease. This illness caused people to lose their capacity for thought, reading, and many other things. By foreseeing the disease, a machine learning system can mitigate this issue. The major goal is to identify dementia in a variety of people. The findings and analysis from multiple machine learning models used to identify dementia are presented in this research. The system was created using the Open Access Series of Imaging Studies (OASIS) dataset. Despite being modest, the dataset is small Several machine learning models have used and studied. . Prediction techniques include support vector machines, logistic regression, decision trees, and random forests. The system has been used both with and without fine-tuning. When the results are compared, it is discovered that the support vector machine produces the best outcomes of all the models. Among many patients, it is the most accurate at spotting dementia. among them, dementia. Even though there are many machine learning systems, their results are often inconsistent and wrong. They also struggle with concerns of overfitting and underfitting. So, using machine learning to assist medical technicians, we have developed a model that can detect Alzheimer's disease early. It will confirm and demonstrate whether or not someone has Alzheimer's disease

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IJARIIE Jenny Thomas, Dini Davis, and Dr.G. Kiruthiga. "An Early Prediction and Detection of Alzheimer's Disease" International Journal Of Advance Research And Innovative Ideas In Education Volume 8 Issue 4 2022 Page 396-400
MLA Jenny Thomas, Dini Davis, and Dr.G. Kiruthiga. "An Early Prediction and Detection of Alzheimer's Disease." International Journal Of Advance Research And Innovative Ideas In Education 8.4(2022) : 396-400.
APA Jenny Thomas, Dini Davis, & Dr.G. Kiruthiga. (2022). An Early Prediction and Detection of Alzheimer's Disease. International Journal Of Advance Research And Innovative Ideas In Education, 8(4), 396-400.
Chicago Jenny Thomas, Dini Davis, and Dr.G. Kiruthiga. "An Early Prediction and Detection of Alzheimer's Disease." International Journal Of Advance Research And Innovative Ideas In Education 8, no. 4 (2022) : 396-400.
Oxford Jenny Thomas, Dini Davis, and Dr.G. Kiruthiga. 'An Early Prediction and Detection of Alzheimer's Disease', International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 4, 2022, p. 396-400. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/An_Early_Prediction_and_Detection_of_Alzheimer_s_Disease_ijariie17710.pdf (Accessed : ).
Harvard Jenny Thomas, Dini Davis, and Dr.G. Kiruthiga. (2022) 'An Early Prediction and Detection of Alzheimer's Disease', International Journal Of Advance Research And Innovative Ideas In Education, 8(4), pp. 396-400IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/An_Early_Prediction_and_Detection_of_Alzheimer_s_Disease_ijariie17710.pdf (Accessed : )
IEEE Jenny Thomas, Dini Davis, and Dr.G. Kiruthiga, "An Early Prediction and Detection of Alzheimer's Disease," International Journal Of Advance Research And Innovative Ideas In Education, vol. 8, no. 4, pp. 396-400, Jul-Aug 2022. [Online]. Available: https://ijariie.com/AdminUploadPdf/An_Early_Prediction_and_Detection_of_Alzheimer_s_Disease_ijariie17710.pdf [Accessed : ].
Turabian Jenny Thomas, Dini Davis, and Dr.G. Kiruthiga. "An Early Prediction and Detection of Alzheimer's Disease." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 8 number 4 ().
Vancouver Jenny Thomas, Dini Davis, and Dr.G. Kiruthiga. An Early Prediction and Detection of Alzheimer's Disease. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2022 [Cited : ]; 8(4) : 396-400. Available from: https://ijariie.com/AdminUploadPdf/An_Early_Prediction_and_Detection_of_Alzheimer_s_Disease_ijariie17710.pdf
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