Support Vector Machine Optimized by Elephant Herding Algorithm for Erythemato-Squamous Diseases Detection

• Published in: Procedia computer science Vol. 122; pp. 916 - 923
• Main Authors: Tuba, Eva, Ribic, Ivana, Capor-Hrosik, Romana, Tuba, Milan
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2017
• Subjects: EHO; elephant herding algorithm; erythemato-squamous diseases; support vector machine; SVM; support vector machine; SVM; elephant herding algorithm; EHO; erythemato-squamous diseases
• ISSN: 1877-0509; 1877-0509
• DOI: 10.1016/j.procs.2017.11.455

Machine learning algorithms are used in numerous field and medicine is one of them. Automatic diagnosis or detection of different diseases based on list of symptoms can drastically improve and speedup diagnostics process. Determining diagnosis at earlier stages gives better healing results. In this paper a method for automatic erythemato-squamous diseases classification was proposed. Six erythemato-squamous diseases that are very hard to distinguish were classified by the optimized support vector machine. Recent swarm intelligent algorithm, elephant herding optimization algorithm was used to find optimal parameters for the support vector machine that was then used to determine the exact erythemato-squamous diseases. We compared accuracy of our proposed method to other approaches from literature using standard dataset and it obtained better results in all experiments.