Diagnosis of Alport Syndrome by Pattern Recognition Techniques

Giacomo Patrizi (), Gabriella Addonisio, Costas Giannakakis, Andrea Onetti Muda, Gregorio Patrizi and Tullio Faraggiana
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Giacomo Patrizi: Università di Roma “La Sapienza”
Gabriella Addonisio: Università di Roma “La Sapienza”
Costas Giannakakis: Università di Roma “La Sapienza”
Andrea Onetti Muda: Università di Roma “La Sapienza”
Gregorio Patrizi: Università di Roma “La Sapienza”
Tullio Faraggiana: Università di Roma “La Sapienza”

A chapter in Data Mining in Biomedicine, 2007, pp 209-230 from Springer

Abstract: Abstract Alport syndrome is a genetic multi-organ disorder, primarily linked with the X-Chromosome, although autosomal forms have been reported. Ultra-structural observations in some cases indicate highly characteristic lesions and mutations in certain genes. Thus the symptomatology of the syndrome is complex and diverse. The aim of this chapter is to present a pattern recognition algorithm to diagnose with high precision patients who may be subject to Alport syndrome. Images of the epidermal basement membrane are studied and a rule to classify them precisely is presented. Theoretical and experimental results are given regarding the possibility of solving this problem.

Keywords: Glomerular Basement Membrane; COL4A4 Gene; Alport Syndrome; Pattern Recognition Technique; Matrix Vector Product (search for similar items in EconPapers)
Date: 2007
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DOI: 10.1007/978-0-387-69319-4_13

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