e-ISSN:0976-5166
p-ISSN:2231-3850


INDIAN JOURNAL OF COMPUTER SCIENCE AND ENGINEERING

Call for Papers

Dec 2019 - Volume 10, Issue 6
Deadline: 15 Nov 2019
Notification: 15 Dec 2019
Publication: 31 Dec 2019

Feb 2020 - Volume 11, Issue 1
Deadline: 15 Jan 2020
Notification: 15 Feb 2020
Publication: 29 Feb 2020

Indexed in

IJCSE Indexed in Scopus

ABSTRACT

Title : PERFORMANCE ANALYSIS OF CLASSIFIER MODELS FOR DISEASE PREDICTION THROUGH NAIL IMAGE PROCESSING
Authors : Priya Maniyan, B L Shivakumar
Keywords : Machine Learning; SVM; Multiclass SVM; KNN; Nail Image Processing.
Issue Date : Jun-Jul 2018
Abstract :
Today’s medical science has progressed in many ways and different methods have been developed for the diagnosis of diseases in the human body and one of the ways to identify the diseases is through the close examination of nails of the human palm. The main aim of this study is to compare the performance of various classifier methods that are used for the prediction of various diseases. The Performance analysis is done by applying image processing, different data mining and machine learning techniques to the extracted nail image through our proposed system which does nail analysis using a combination of 13 features (Nail Color, Shape and Texture) extracted from the nail image. In this paper we have compared different machine learning classifiers like Support Vector Machine, Multiclass SVM and K-Nearest Neighbor to classify patients with different diseases like Psoriasis, Red Lunula, Beau’s Lines, Clubbing, etc. These approaches were tested with data images from Hospitals and workplaces. The performance of the different classifiers have been measured in terms of Accuracy, Sensitivity and Specificity.
Page(s) : 81-90
ISSN : 0976-5166
Source : Vol. 9, No.3
PDF : Download
DOI : 10.21817/indjcse/2018/v9i3/180903013