NDLI: A new approach based on the serological tests for the diagnosis of tuberculosis in cattle

Content Provider	IEEE Xplore Digital Library
Author	Sahli, H. Diouani, M.F. Tlig, L. Essafi, M. Sayadi, M.
Copyright Year	2015
Description	Author affiliation: Lab. of Signal Image & Energy Mastery, Univ. of Tunis, Tunis, Tunisia (Sahli, H.; Tlig, L.; Sayadi, M.) \|\| Lab. of Epidemiology & Veterinary Microbiol., Pasteur Inst., Tunis, Tunisia (Diouani, M.F.) \|\| LTCII, Pasteur Inst. of Tunis, Tunis, Tunisia (Essafi, M.)
Abstract	The diagnosis of bovine tuberculosis (TB) is still a challenge for a better control of the disease. Here we report the use of a simple ELISA test combined with a multilayer neuronal network analyzing method in order to diagnose TB in cattle from the north part of Tunisia. A panel of Mycobacterium bovis (Mbv)-specific recombinant proteins along with crud extracts were used to coat the 96 wells plates, namely the recombinant 10 kDa culture filtrate antigen (CFP-10), the 6 kD Early Secretory Antigenic Target (ESAT-6), the recombinant Esat-6/CFP-10 heterodimer along with the crud BCG proteins and Tuberculin purified protein derivative (PPD). In the current article, a new approach is described to compare their characterization degree to select the most discriminative antigens. The classification of subjects into two groups: TB+ and TB-subjects was affected by an artificial multilayer neural network and the statistical study to estimate the diagnosis of bovine tuberculosis and construct an optimal partition of the results. This method was applied on the serological tests of a set of cattles. The results are encouraging.
Starting Page	1
Ending Page	6
File Size	240101
Page Count	6
File Format	PDF
ISBN	9781479917587
DOI	10.1109/SSD.2015.7348132
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-03-16
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Proteins Bovine Tuberculosis Bovine Nonhomogeneous media classification multilayer neural network characterization Biological neural networks Diseases ELISA
Content Type	Text
Resource Type	Article

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