Comparative Analysis of Machine Learning Approaches for Early Detection of Alzheimer’s Disease
Abstract & Details
Research Area
Machine Learning
Keywords
Random Forest (RF)
Support Vector Machine (SVM)
Gaussian Naïve Bayes (GNB)
Logistic Regression (LR)
K-Nearest Neighbor (KNN)
XG-Boost
Machine Learning (ML)
Features
Classifiers.
Abstract
The purpose of this survey is to compare the accuracy of Machine Learning algorithms to predict Alzheimer's disease early. Machine learning algorithms is comparatively applied on variety of biomarkers correlated with disease in order to examine the efficiency of those Machine Learning techniques. Based on this analysis the foremost algorithm can be employed to perceive the Alzheimer’s disease in advance. In this paper we are going to find better ways to predict the Alzheimer’s disease when other chronic conditions are present.
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Akileshwaran S | Anand Institute of Higher Technology |
| 2 | Sathish Kumar R | Anand Institute of Higher Technology |
| 3 | Malathi A | Anand Institute of Higher Technology |
| 4 | Maheswari M | Anand Institute of Higher Technology |
| 5 | Dr. Roselin Mary. S | Anand Institute of Higher Technology |
How to Cite
Use the following formats to cite this article in your research.
APA Style
S, Akileshwaran, R, Sathish Kumar, A, Malathi, M, Maheswari, & S, Dr. Roselin Mary. (2022). Comparative Analysis of Machine Learning Approaches for Early Detection of Alzheimer’s Disease. International Journal of Advance Research and Innovative Ideas In Education, 8(3), 4139-4147.
MLA Style
S, Akileshwaran, et al. "Comparative Analysis of Machine Learning Approaches for Early Detection of Alzheimer’s Disease." International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, 2022, pp. 4139-4147.
IEEE Style
Akileshwaran S, Sathish Kumar R, Malathi A, Maheswari M, and Dr. Roselin Mary. S, "Comparative Analysis of Machine Learning Approaches for Early Detection of Alzheimer’s Disease," International Journal of Advance Research and Innovative Ideas In Education, vol. 8, no. 3, pp. 4139-4147, 2022.
Vancouver Style
S Akileshwaran, R Sathish Kumar, A Malathi, M Maheswari, S Dr. Roselin Mary.. Comparative Analysis of Machine Learning Approaches for Early Detection of Alzheimer’s Disease. International Journal of Advance Research and Innovative Ideas In Education. 2022;8(3):4139-4147.
Harvard Style
S, Akileshwaran, R, Sathish Kumar, A, Malathi, M, Maheswari, & S, Dr. Roselin Mary. (2022) 'Comparative Analysis of Machine Learning Approaches for Early Detection of Alzheimer’s Disease', International Journal of Advance Research and Innovative Ideas In Education, 8(3), pp. 4139-4147.
Chicago Style
S, Akileshwaran, et al. "Comparative Analysis of Machine Learning Approaches for Early Detection of Alzheimer’s Disease." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 4139-4147.
Turabian Style
S, Akileshwaran, et al. "Comparative Analysis of Machine Learning Approaches for Early Detection of Alzheimer’s Disease." International Journal of Advance Research and Innovative Ideas In Education 8, no. 3 (2022): 4139-4147.
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