Acute sinusitis data classification using grey wolf optimization-based support vector machine

Acute sinusitis is the most common form of sinusitis, and it causes swelling and inflammation within the nose. The main thing that can causes sinusitis is probably due to viruses, and also can be caused by other factors, namely bacteria, fungi, irritation, dust, and allergens. In this research, the CT scan data attributes will be used for classification and grey wolf optimization-support vector machine (GWO-SVM) will be the machine learning technique used, where the GWO technique will be used to tuned the parameters in SVM. The performance of methods was analyzed using the python programming language with different percentages of training data, which started from 10% to 90%. The GWO-SVM method proposed provides better accuracy than using SVM without GWO.

[1]  Song Jiang,et al.  Hybrid Genetic Grey Wolf Algorithm for Large-Scale Global Optimization , 2019, Complex..

[2]  Jing Chen,et al.  Prediction of sulfur solubility in supercritical sour gases using grey wolf optimizer-based support vector machine , 2018, Journal of Molecular Liquids.

[3]  Paresh Chandra Deka,et al.  Support vector machine applications in the field of hydrology: A review , 2014, Appl. Soft Comput..

[4]  Nello Cristianini,et al.  An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .

[5]  Andrew Lewis,et al.  Grey Wolf Optimizer , 2014, Adv. Eng. Softw..

[6]  Shita Agustin Kusumaningtyas,et al.  Optimization of acid gas sweetening plant based on least squares — Support Vector Machine (LS-SVM) Model and Grey Wolf Optimizer (GWO) , 2016, 2016 International Seminar on Sensors, Instrumentation, Measurement and Metrology (ISSIMM).

[7]  Aboul Ella Hassanien,et al.  Water quality classification approach based on bio-inspired Gray Wolf Optimization , 2015, 2015 7th International Conference of Soft Computing and Pattern Recognition (SoCPaR).

[8]  Tsuyoshi Murata,et al.  {m , 1934, ACML.

[9]  Zuherman Rustam,et al.  Kernel Spherical K-Means and Support Vector Machine for Acute Sinusitis Classification , 2019, IOP Conference Series: Materials Science and Engineering.

[10]  J. Chen,et al.  A grey wolf optimizer-based support vector machine for the solubility of aromatic compounds in supercritical carbon dioxide , 2017 .

[11]  André Carlos Ponce de Leon Ferreira de Carvalho,et al.  Bio-inspired Optimization Techniques for SVM Parameter Tuning , 2008, 2008 10th Brazilian Symposium on Neural Networks.

[12]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[13]  Jinfeng Xiao,et al.  Research on Motor Rolling Bearing Fault Classification Method Based on CEEMDAN and GWO-SVM , 2018, 2018 2nd IEEE Advanced Information Management,Communicates,Electronic and Automation Control Conference (IMCEC).

[14]  Zuherman Rustam,et al.  Feature Selection using Random Forest Classifier for Predicting Prostate Cancer , 2019, IOP Conference Series: Materials Science and Engineering.

[15]  Jason Weston,et al.  A user's guide to support vector machines. , 2010, Methods in molecular biology.

[16]  N. Sivakumaran,et al.  Grey wolf optimization based parameter selection for support vector machines , 2016 .

[17]  T. Siswantining,et al.  Ovarian Cancer Classification using Bayesian Logistic Regression , 2019, IOP Conference Series: Materials Science and Engineering.

[18]  J. Gwaltney.  Acute sinusitis in adults. , 1983, American journal of otolaryngology.

[19]  Zuherman Rustam,et al.  Classification of Breast Cancer using Fast Fuzzy Clustering based on Kernel , 2019, IOP Conference Series: Materials Science and Engineering.

[20]  O. Pasche,et al.  [Acute sinusitis]. , 2008, Revue medicale suisse.