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Abstract
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Article Information:
Evaluating the Prediction of Heart Failure towards Health Monitoring using Particle Swarm Optimization
S. Radhimeenakshi and G.M. Nasira
Corresponding Author: S. Radhimeenakshi
Submitted: August 14, 2014
Accepted: October 11, 2014
Published: December 05, 2014 |
Abstract:
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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.
Key words: Cardio-vascular, heart failure, particle swarm optimization, , , ,
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Abstract
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Cite this Reference:
S. Radhimeenakshi and G.M. Nasira, . Evaluating the Prediction of Heart Failure towards Health Monitoring using Particle Swarm Optimization. Research Journal of Applied Sciences, Engineering and Technology, (21): 2161-2166.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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