Precise diagnosis of Alzheimer’s disease using Recursive Feature Elimination method

Authors

  • Gufran Ahmad Ansari Department of Computer Application, B.S. Abdur Rahman Crescent Institute of Science and Technology
  • Sivakani R Department of Computer Science and Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology
  • Srisakthi S Department of Computer Application, B.S. Abdur Rahman Crescent Institute of Science and Technology

DOI:

https://doi.org/10.6977/IJoSI.202209_7(3).0003

Keywords:

Alzheimer, early diagnosis, feature selection, recursive feature elimination

Abstract

One of the prevalent diseases that tend to have elderly patients has been the Alzheimer Disease (AD). It is a neurological disease where the brain cells start to deteriorate. As the disease progresses it eventually leads to the death of the brain cells. This result shows various problems like memory loss change in behavior pattern and many more. The most challenging problem has been in predicting an early diagnosis of AD in patients. The disease is predicted based on the various features of the patient. Feature selection has been one of the important steps in predicting the disease. This paper takes the OASIS data set and implements the different algorithms and proposes the. The proposed model identifies the salient feature by recursively considering smaller and smaller sets of the features. The classification has been done for evaluating the feature selection. The performance metrics shows improved score after applying feature section concept. The model is found to have a good accuracy level when compared to other models.

Downloads

Published

2022-09-01

Issue

Vol. 7 No. 3 (2022): International Journal of Systematic Innovation

Section

Regular full papers

License

Copyright in a work is a bundle of rights. IJoSI's, copyright covers what may be done with the work in terms of making copies, making derivative works, abstracting parts of it for citation or quotation elsewhere and so on. IJoSI requires authors to sign over rights when their article is ready for publication so that the publisher from then on owns the work. Until that point, all rights belong to the creator(s) of the work. The format of IJoSI copy right form can be found at the IJoSI web site.
The issues of International Journal of Systematic Innovation (IJoSI) are published in electronic format and in print. Our website, journal papers, and manuscripts etc. are stored on one server. Readers can have free online access to our journal papers. Authors transfer copyright to the publisher as part of a journal publishing agreement, but have the right to:
1.    Share their article for personal use, internal institutional use and scholarly sharing purposes, with a DOI link to the version of record on our server.
2.    Retain patent, trademark and other intellectual property rights (including research data).
3.    Proper attribution and credit for the published work.