DSpace Repository

Automated Prediction of Heart Disease Patients Using Sparse Discriminant Analysis

Show simple item record

dc.contributor.author Hasan, K. M. Zubair
dc.contributor.author Datta, Shourob
dc.contributor.author Hasan, Md Zahid
dc.contributor.author Zahan, Nusrat
dc.date.accessioned 2022-01-20T07:01:14Z
dc.date.available 2022-01-20T07:01:14Z
dc.date.issued 2019-02-09
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/6828
dc.description.abstract Linear Discriminant Analysis (LDA) is an easy and efficient method for pattern classification, while it is also broadly utilized for the initial discovery of diseases using Electronic Health Records (EHR) data. Nonetheless, the performance of LDA for EHR data classification is recurrently influenced by two major factors: poor evaluation of LDA parameters (e.g., covariance matrix), and “linear inseparability” of the EHR data for classification. In this paper, we propose a novel classifier SDA -Sparse Discriminant Analysis method for heart disease detection. The time complexity will be reduced in this algorithm by optimal scoring analysis of LDA and will be comprehensive to execute sparse discrimination through the combination of Gaussians if limits between classes are nonlinear or if subgroups are available inside every class. On the whole, compared to previous techniques, our proposed technique is more appropriate for the diagnosis of heart disease patients with higher accuracy. en_US
dc.language.iso en_US en_US
dc.publisher 2nd International Conference on Electrical, Computer and Communication Engineering, IEEE en_US
dc.subject Heart en_US
dc.subject Diseases en_US
dc.subject Classification algorithms en_US
dc.subject Machine learning en_US
dc.subject Prediction algorithms en_US
dc.subject Feature extraction en_US
dc.subject Machine learning algorithms en_US
dc.title Automated Prediction of Heart Disease Patients Using Sparse Discriminant Analysis en_US
dc.type Article en_US

Files in this item

This item appears in the following Collection(s)

Show simple item record

Search DSpace


My Account