Alzheimer's Disease Detection Using Machine Learning
Abstract & Details
Research Area
Information Technology
Keywords
Alzheimer's
detection
CNN Algorithm
EEG
Features
Complexity
Literature Survey
Non-linear
Biomarkers
Result
Demography
Login
Create
Account
Prediction
Grid
pre-processing
Training
weight values
pixel values
Future scope
MR image
analysis
extracted
Conclusion.
Abstract
Alzheimer disease is one of the most common and fastest growing neurodegenerative diseases in the western countries. Development of different biomarkers tools are key issues for diagnosis of alzheimer's disease and its progression. prediction of cognitive performance of subjects from EEG and identification of relevant biomarkers are some of the research problems.
This paper focuses on new features for diagnosis of alzheimer's disease using EEG signals with effective increase in diagnostic accuracy.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Dhananjay Ashok Kingre | Genba sopanrrao moze college of engineering balewadi , pune |
| 2 | Gayatri Patil | Genba sopanrrao moze college of engineering balewadi , pune |
| 3 | Sanskruti Kalyani Kamshetti | Genba sopanrrao moze college of engineering balewadi , pune |
| 4 | Nikita Rajendra Phad | Genba sopanrrao moze college of engineering balewadi , pune |
| 5 | Samruddhi Gautam Bansod | Genba sopanrrao moze college of engineering balewadi , pune |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Kingre, Dhananjay Ashok, Patil, Gayatri, Kamshetti, Sanskruti Kalyani, Phad, Nikita Rajendra, & Bansod, Samruddhi Gautam (2023). Alzheimer's Disease Detection Using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education, 9(2), 772-778.
MLA Style
Kingre, Dhananjay Ashok, et al. "Alzheimer's Disease Detection Using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, 2023, pp. 772-778.
IEEE Style
Dhananjay Ashok Kingre, Gayatri Patil, Sanskruti Kalyani Kamshetti, Nikita Rajendra Phad, and Samruddhi Gautam Bansod, "Alzheimer's Disease Detection Using Machine Learning," International Journal of Advance Research and Innovative Ideas In Education, vol. 9, no. 2, pp. 772-778, 2023.
Vancouver Style
Kingre Dhananjay Ashok, Patil Gayatri, Kamshetti Sanskruti Kalyani, Phad Nikita Rajendra, Bansod Samruddhi Gautam. Alzheimer's Disease Detection Using Machine Learning. International Journal of Advance Research and Innovative Ideas In Education. 2023;9(2):772-778.
Harvard Style
Kingre, Dhananjay Ashok, Patil, Gayatri, Kamshetti, Sanskruti Kalyani, Phad, Nikita Rajendra, & Bansod, Samruddhi Gautam (2023) 'Alzheimer's Disease Detection Using Machine Learning', International Journal of Advance Research and Innovative Ideas In Education, 9(2), pp. 772-778.
Chicago Style
Kingre, Dhananjay Ashok, et al. "Alzheimer's Disease Detection Using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 772-778.
Turabian Style
Kingre, Dhananjay Ashok, et al. "Alzheimer's Disease Detection Using Machine Learning." International Journal of Advance Research and Innovative Ideas In Education 9, no. 2 (2023): 772-778.
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