Performance Analysis of Support Vector Machine in Diabetes Prediction
Narendra Mohan, Vinod Kumar Jain
20202020 4th International Conference on Electronics, Communication and Aerospace Technology (ICECA)53 citationsDOI
Abstract
Diabetes is emerging as a predominant disease in the developing countries like India. The disease is becoming very serious and cause many other problems in the human body. Many factors are remaining as a cause for this disease in human body. The disease is not curable and can only be controlled. In this paper, support vector machine [SVM] is applied in diabetes prediction. The performance of SVM algorithm is analyzed for different available kernels. The best kernel is selected and used for prediction. The proposed work is implemented in python programming language and its performance is as good as other algorithms.
Topics & Concepts
Support vector machineComputer sciencePython (programming language)Machine learningDiabetes mellitusDiseaseKernel (algebra)Artificial intelligenceRelevance vector machineStructured support vector machineMedicineMathematicsProgramming languageEndocrinologyPathologyCombinatoricsArtificial Intelligence in HealthcareImbalanced Data Classification TechniquesMachine Learning in Healthcare