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Dimensionality Reduction of Healthcare Data through Niche Genetic Algorithm

by Madhu H.K., D. Ramesh
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 183 - Number 53
Year of Publication: 2022
Authors: Madhu H.K., D. Ramesh
10.5120/ijca2022921945

Madhu H.K., D. Ramesh . Dimensionality Reduction of Healthcare Data through Niche Genetic Algorithm. International Journal of Computer Applications. 183, 53 ( Feb 2022), 7-11. DOI=10.5120/ijca2022921945

@article{ 10.5120/ijca2022921945,
author = { Madhu H.K., D. Ramesh },
title = { Dimensionality Reduction of Healthcare Data through Niche Genetic Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { Feb 2022 },
volume = { 183 },
number = { 53 },
month = { Feb },
year = { 2022 },
issn = { 0975-8887 },
pages = { 7-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume183/number53/32287-2022921945/ },
doi = { 10.5120/ijca2022921945 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T01:19:47.790735+05:30
%A Madhu H.K.
%A D. Ramesh
%T Dimensionality Reduction of Healthcare Data through Niche Genetic Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 183
%N 53
%P 7-11
%D 2022
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Technology into medical health care has generated voluminous parameters for human physiological condition, forming data for high dimensions. Data which is raw makes any computing techniques complex and it is not structured.Structuring data can be a pre-processing model,but extracting useful parameters which contribute to reducing the computational complexities of any intelligent algorithm for classification and prediction is a big challenge in technology. Dimensionality reduction is a common strategy adopted by research to select appropriate parameters for further computations. In this research work Niche genetic algorithm is implemented on various healthcare datasets which extracts relevant parameters for classification and prediction of healthcare data with reduced computation complexity and increased accuracy. The proposed model is independent of any application, but restricts to structured data.

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Index Terms

Computer Science
Information Sciences

Keywords

Dimensionality reduction Principal Component Analysis (PCA) UCI Health care dataset.

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