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A Real-time classification system of thalassemic pathologies based on artificial neural networks

Amendolia, Salvator Roberto and Brunetti, Antonio and Carta, P. and Cossu, Gianfranco and Ganadu, Maria Luisa Margherita and Golosio, Bruno and Mura, Giovanni Maria and Pirastru, Maria Gavina (2002) A Real-time classification system of thalassemic pathologies based on artificial neural networks. Medical Decision Making, Vol. 22 (1), p. 18-26. eISSN 1552-681X. Article.

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DOI: 10.1177/0272989X0202200102

Abstract

Thalassemias are pathologies that derive from genetic defects of the globin genes. The most common defects among the population affect the genes that are involved in the synthesis of and β chains. The main aspects of these pathologies are well explained from a biochemical and genetic point of view. The diagnosis is fundamentally based on hematologic and genetic tests. A genetic analysis is particularly important to determine the carriers of α-thalassemia, whose identification by means of the hematologic parameters is more difficult in comparison with heterozygotes for β-thalassemia. This work investigates the use of artificial neural networks (ANNs) for the classification of thalassemic pathologies using the hematologic parameters resulting from hemochromocytometric analysis only. Different combinations of ANNs are reported, which allow thalassemia carriers to be discriminated from normals with 94% classification accuracy, 92% sensitivity, and 95% specificity. On the basis of these results, an automated system that allows real-time support for diagnoses is proposed. The automated system interfaces a hemochromo analyzer to a simple PC.

Item Type:Article
ID Code:2021
Status:Published
Refereed:Yes
Uncontrolled Keywords:Neural networks, decision support, thalassemia, hemoglobinopathies
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:002 Altri enti e centri di ricerca del Nord Sardegna > Azienda ASL1, Sassari > Ospedale civile SS. Annunziata
002 Altri enti e centri di ricerca del Nord Sardegna > Azienda ASL1, Sassari > Distretto e Presidio ospedaliero di Ozieri
001 Università di Sassari > 01 Dipartimenti > Chimica
001 Università di Sassari > 03 Istituti > Matematica e fisica
Publisher:SAGE Publishing
eISSN:1552-681X
Deposited On:18 Aug 2009 10:06

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