Heart Failure Prediction Using Particle Swarm Optimization In Case Of Remote Health Monitoring (original) (raw)

2014

Abstract

Heart failure is one of the major cardio-vascular diseases affecting the middle-aged and the aged. It occurs due to decreased cardiac output. It can be both right-sided and left-sided failure of heart. This research paper 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 output shows the performance improvement of the proposed method.

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