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A Comparative study of k-nearest neighbour, support vector machine and multi-layer perceptron for thalassemia screening

Amendolia, Salvator Roberto and Cossu, Gianfranco and Ganadu, Maria Luisa Margherita and Golosio, Bruno and Masala, Giovanni Luca Christian and Mura, Giovanni Maria (2003) A Comparative study of k-nearest neighbour, support vector machine and multi-layer perceptron for thalassemia screening. Chemometrics and Intelligent Laboratory Systems, Vol. 69 (1-2), p. 13-20. ISSN 0169-7439. Article.

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DOI: 10.1016/S0169-7439(03)00094-7


In this paper, we investigate the feasibility of two typical techniques of Pattern Recognition in the classification for Thalassemia screening. They are the Support Vector Machine (SVM) and the K-Nearest Neighbour (KNN). We compare SVM and KNN with a Multi-Layer Perceptron (MLP) classifier. We propose a two-classifier system based on SVM. The first layer is used to differentiate between pathological and non-pathological cases while the second layer is used to discriminate between two different pathologies (α-thalassemia carrier against β-thalassemia carrier) from the first output layer (pathological cases). Using the parameters sensitivity (percentage of pathologic cases correctly classified) and specificity (percentage of non-pathologic cases correctly classified), the results obtained with this analysis show that the MLP classifier gives slightly better results than SVM although the amount of data available is limited. Both techniques enable thalassemia carriers to be discriminated from healthy subjects with 95% specificity, although the sensitivity of MLP is 92% while that of SVM is 83%.

Item Type:Article
ID Code:2013
Uncontrolled Keywords:Thalassemia, k-nearest neighbour (KNN), multi layer perceptron (MLP), support vector machine (SVM), principal component analysis (PCA), artificial neural networks
Subjects:Area 03 - Scienze chimiche > CHIM/12 Chimica dell'ambiente e dei beni culturali
Area 02 - Scienze fisiche > FIS/07 Fisica applicata (a beni culturali, ambientali, biologia e medicina)
Divisions:001 Università di Sassari > 01 Dipartimenti > Chimica
002 Altri enti e centri di ricerca del Nord Sardegna > Azienda ASL1, Sassari > Presidio ospedaliero di Sassari > Servizio immunotrasfusionale
001 Università di Sassari > 03 Istituti > Matematica e fisica
Deposited On:18 Aug 2009 10:06

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