title: Analysis of dengue infection based on Raman spectroscopy and support vector machine (SVM).
abstract: The current study presents the use of Raman spectroscopy combined with support vector machine (SVM) for the classification of dengue suspected human blood sera. Raman spectra for 84 clinically dengue suspected patients acquired from Holy Family Hospital, Rawalpindi, Pakistan, have been used in this study.The spectral differences between dengue positive and normal sera have been exploited by using effective machine learning techniques. In this regard, SVM models built on the basis of three different kernel functions including Gaussian radial basis function (RBF), polynomial function and linear functionhave been employed to classify the human blood sera based on features obtained from Raman Spectra.The classification model have been evaluated with the 10-fold cross validation method. In the present study, the best performance has been achieved for the polynomial kernel of order 1. A diagnostic accuracy of about 85% with the precision of 90%, sensitivity of 73% and specificity of 93% has been achieved under these conditions.
authors.affiliation: Agri-Biophotonics Division, National Institute for Lasers and Optronics (NILOP), Nilore, Islamabad 45650, Pakistan.
authors.forename: Saranjam
authors.initials: S
authors.lastname: Khan
authors.affiliation: Agri-Biophotonics Division, National Institute for Lasers and Optronics (NILOP), Nilore, Islamabad 45650, Pakistan.
authors.forename: Rahat
authors.initials: R
authors.lastname: Ullah
authors.affiliation: Pattern Recognition Lab, DCIS, Pakistan Institutes of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad 45650, Pakistan.
authors.forename: Asifullah
authors.initials: A
authors.lastname: Khan
authors.affiliation: Pattern Recognition Lab, DCIS, Pakistan Institutes of Engineering and Applied Sciences (PIEAS), Nilore, Islamabad 45650, Pakistan.
authors.forename: Noorul
authors.initials: N
authors.lastname: Wahab
authors.affiliation: Agri-Biophotonics Division, National Institute for Lasers and Optronics (NILOP), Nilore, Islamabad 45650, Pakistan.
authors.forename: Muhammad
authors.initials: M
authors.lastname: Bilal
authors.affiliation: Agri-Biophotonics Division, National Institute for Lasers and Optronics (NILOP), Nilore, Islamabad 45650, Pakistan.
authors.forename: Mushtaq
authors.initials: M
authors.lastname: Ahmed
keywords: (300.0300) Spectroscopy; (300.6450) Spectroscopy, Raman