Sujal R Patel, Nancy A Uriegas, Tara A Armstrong, Ryan M Stover, Kenneth E Games, Zachary K Winkelmann
Digital Health Literacy and Social Determinants of Health Affecting Telehealth Use by Athletic Trainers
Journal of sport rehabilitation
support vector machine svm popular pattern classification method many diverse applications kernel parameter setting svm training procedure along feature selection significantly influences classification accuracy study simultaneously determines parameter values discovering subset features without reducing svm classification accuracy particle swarm optimization pso based approach parameter determination feature selection svm termed pso svm developed several public datasets employed calculate classification accuracy rate order evaluate developed pso svm approach developed approach compared grid search conventional method searching parameter values approaches experimental results demonstrate classification accuracy rates developed approach surpass grid search many approaches developed pso svm approach similar result ga svm therefore pso svm approach valuable parameter determination feature selection svm