A NEW APPROACH BASED ON THE SEROLOGICAL TESTS AND THE DELAYED HYPERSENSITIVITY TESTS FOR THE DIAGNOSIS OF CANINE LEISHMANIASIS

被引:0
作者
Sahli, Hanene [1 ]
Diouani, Mohamed Fethi [2 ]
Sayadi, Mounir [1 ]
机构
[1] Univ Tunis, ENSIT, Lab Signal Image & Energy Mastery SIME, Tunis, Tunisia
[2] Inst Pasteur, Lab Epidemiol & Vet Microbiol, Tunis, Tunisia
来源
201415th International Conference on Sciences & Techniques of Automatic Control & Computer Engineering (STA'2014) | 2014年
关键词
canine leishmaniasis; ELISA; DHST; IIF; classification; multilayer neural network; characterization; NEURAL-NETWORK; CLASSIFICATION;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Several responses in the form of serological tests ELISA (Enzyme Linked Immuno Sorbent Assay), IIF (Indirect Immuno Fluoresence) and DHST (Delayed Hyper Sensitivity Tests) can be used to detect leishmania parasite infection in dogs. In this paper, we propose a new method to select the most discriminative tests based on determinant criterion. So, the diagnosis of canine leishmaniasis (CanL) can be improved by reducing the number of features. Moreover, an artificial neural networks (the Multilayer Preceptron neural network) is applied to classify subjects into two groups: positive (sick) and negative (not sick). The correlation between the physical and the pathological state of subjects is specified with multiple attempts. These methods are obtained with considering chain of experiences that allow for fairly reliable and highly effective results which enable us to develop an efficient way to estimate the diagnosis of this disease. After many experiments, we notice that the best combination of the three studied tests is the DHST and IIF tests.
引用
收藏
页码:158 / 163
页数:6
相关论文
共 14 条
[1]   Real dynamics for damped Newton's method applied to cubic polynomials [J].
Alberto Magrenan, Angel ;
Manuel Gutierrez, Jose .
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS, 2015, 275 :527-538
[2]  
Barbosa-Santos Elizabeth Gloria O., 1998, Revista do Instituto de Medicina Tropical de Sao Paulo, V40, P41, DOI 10.1590/S0036-46651998000100009
[3]   The diagnosis and management of a case of leishmaniosis in a dog imported to Australia [J].
Best, Matthew P. ;
Ash, Amanda ;
Bergfeld, Jemma ;
Barrett, Janine .
VETERINARY PARASITOLOGY, 2014, 202 (3-4) :292-295
[4]   Performance Improved Iteration-Free Artificial Neural Networks for Abnormal Magnetic Resonance Brain Image Classification [J].
Hemanth, D. Jude ;
Vijila, C. Kezi Selva ;
Selvakumar, A. Immanuel ;
Anitha, J. .
NEUROCOMPUTING, 2014, 130 :98-107
[5]  
Jervis B.W., 1994, P INT C NEUR NETW EX
[6]  
Jervis B.W., 1994, IEE P SCI ED MAN
[7]   PILOT-STUDY OF COMPUTERIZED DIFFERENTIATION OF HUNTINGTONS-DISEASE, SCHIZOPHRENIC, AND PARKINSONS-DISEASE PATIENTS USING THE CONTINGENT NEGATIVE-VARIATION [J].
JERVIS, BW ;
SAATCHI, MR ;
ALLEN, EM ;
HUDSON, NR ;
OKE, S ;
GRIMSLEY, M .
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING, 1993, 31 (01) :31-38
[8]   Quasi-Newton Iterative Projection Algorithm for Sparse Recovery [J].
Jing, Mingli ;
Zhou, Xueqin ;
Qi, Chun .
NEUROCOMPUTING, 2014, 144 :169-173
[9]   Training the random neural network using quasi-Newton methods [J].
Likas, A ;
Stafylopatis, A .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2000, 126 (02) :331-339
[10]   Molecular identification of Bartonella species in dogs with leishmaniosis (Leishmania infantum) with or without cytological evidence of arthritis [J].
Mylonakis, Mathios E. ;
Soubasis, Nectarios ;
Balakrishnan, Nandhakumar ;
Theodorou, Konstantina ;
Kasabalis, Dimitrios ;
Saridomichelakis, Manolis ;
Koutinas, Christos K. ;
Koutinas, Alexander F. ;
Breitschwerdt, Edward B. .
VETERINARY MICROBIOLOGY, 2014, 174 (1-2) :272-275