International Journal of Knowledge Based Computer Systems

2014 | Volume 2 | Issue Issue 2

Foetal State Determination using Support Vector Machine and Firefly Optimisation

1. Subha V. – Dept Of Comp Sc. & Engg, Manonmaniam Sundaranar Univ, Tirunelveli, Tamil Nadu, India.

2. Murugan D. – Dept Of Comp Sc. & Engg, Manonmaniam Sundaranar Univ, Tirunelveli, Tamil Nadu, India.

Received
18-Feb-2015 		Accepted
- 		Published
18-Feb-2015
Abstract
In recent days, it has been found that vast amount of data is available in medical field that aid the doctors in disease diagnosis. Data mining techniques have been applied to extract knowledge from these medical data so that disease prediction becomes easy. In this paper, cardiotocogram (CTG) data is classified using Support Vector Machine (SVM). An optimized feature subset is produced using Firefly Algorithm (FFA) with SVM evaluation. The results show that the performance of classification is improved with the optimal reduced feature set than with full feature set.
Keywords SVM Classifier, Cardiotocography, Firefly Algorithm, Feature Selection
Locked
Subscribed
Open Access
Open Access
Articles Journal Info Editorial Board Guidelines Pricing Info Peer Review & Publication Policy Submit Manuscript