Research Article | OPEN ACCESS
Evaluating the Prediction of Heart Failure towards Health Monitoring using Particle Swarm Optimization
1S. Radhimeenakshi and 2G.M. Nasira
1Bharathiar University, Coimbatore
2Department of Computer Science, Chikkanna Government Arts College, Tamilnadu, India
Research Journal of Applied Sciences, Engineering and Technology 2014 21:2161-2166
Received: August 14, 2014 | Accepted: October 11, 2014 | Published: December 05, 2014
Abstract
Heart failure is one of the real cardio-vascular ailments influencing the center matured and the matured. It happens because of diminished cardiovascular yield. It can be both right-sided and left-sided failure of heart. This research study proposes a bio-inspired computing paradigm called particle swarm optimization shortly termed as PSO towards the prediction of heart failure. The implementation is carried out using java. The metrics such as time complexity and prediction accuracy are taken into account for the performance evaluation of the PSO for the prediction of heart failure. Simulation result outputs show the performance improvement of the proposed method.
Keywords:
Cardio-vascular, heart failure, particle swarm optimization,
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Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
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