R. H. S-e-l-w-i-t-z and A. , I .I s m a i l ,a n dN .B .P i t t s , " D e n t a lc a r i e s, Lancet, vol.369, issue.9555, pp.51-59, 2007.

W. J. Loesche, Role of Streptococcus mutans in human dental decay, Microbiological Reviews, vol.50, issue.4, pp.353-380, 1986.

J. Van-houte, Role of micro-organisms in caries etiology, JournalofDentalResearch, vol.73, issue.3, pp.672-681, 1994.

H. F. Jenkinson and R. J. Lamont, Oral microbial communities in sickness and in health, Trends in Microbiology, vol.13, issue.12, pp.589-595, 2005.
DOI : 10.1016/j.tim.2005.09.006

M. R. Becker, B. J. , E. J. Leysetal, J. Corby, W. A. Lyons-weiler et al., Molecular Analysis of Bacterial Species Associated with Childhood Caries, Journal of Clinical Microbiology, vol.40, issue.3, pp.1001-1009, 2002.
DOI : 10.1128/JCM.40.3.1001-1009.2002

Y. Li, Y. Ge, D. Saxena, and P. W. Caufield, Genetic Profiling of the Oral Microbiota Associated with Severe Early-Childhood Caries, Journal of Clinical Microbiology, vol.45, issue.1, pp.81-87, 2007.
DOI : 10.1128/JCM.01622-06

M. Lenander-lumikari and V. Loimaranta, Saliva and Dental Caries, Advances in Dental Research, vol.56, issue.1, pp.40-47, 2000.
DOI : 10.1177/08959374000140010601

A. Van-nieuw-amerongen, J. G. Bolscher, and E. C. Veerman, Salivary Proteins: Protective and Diagnostic Value in Cariology?, Caries Research, vol.38, issue.3, pp.247-253, 2004.
DOI : 10.1159/000077762

R. V-i-t-o-ri-n-o, M. J. L-o-b-o, J. R. Rt-e, and A. J. , F e rr e r -C o rr e i a , P .M .Do m i n g u e s ,a n dF, dental caries, pp.214-222, 2005.

I. D. Mandel, The role of saliva in maintaining oral homeostasis, The Journal of the American Dental Association, vol.119, issue.2, pp.298-304, 1989.
DOI : 10.14219/jada.archive.1989.0211

R. Schipper, A. Loof, J. De-groot, L. Harthoorn, E. Dransfield et al., SELDI-TOF-MS of saliva: Methodology and pre-treatment effects, Journal of Chromatography B, vol.847, issue.1, pp.45-53, 2007.
DOI : 10.1016/j.jchromb.2006.10.005

F. G. Oppenheim, E. Salih, W. L. Siqueira, W. Zhang, and E. J. Helmerhorst, Salivary Proteome and Its Genetic Polymorphisms, Annals of the New York Academy of Sciences, vol.37, issue.2, pp.22-50, 2007.
DOI : 10.1016/0003-9969(87)90024-0

F. M. Amado, R. M. Vitorino, P. M. Domingues, M. J. Lobo, and J. A. Duarte, Analysis of the human saliva proteome, Expert Review of Proteomics, vol.2, issue.4, pp.521-539, 2005.
DOI : 10.1586/14789450.2.4.521

S. Hu, Y. Li, and J. Wang, Human Saliva Proteome and Transcriptome, Journal of Dental Research, vol.85, issue.12, pp.1129-1133, 2006.
DOI : 10.1177/154405910608501212

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2175525

D. T. Wong, Salivary diagnostics powered by nanotechnologies, proteomics and genomics, The Journal of the American Dental Association, vol.137, issue.3, pp.313-321, 2006.
DOI : 10.14219/jada.archive.2006.0180

C. F. Streckfus and L. R. Bigler, Saliva as a diagnostic fluid, Oral Diseases, vol.8, issue.2, pp.69-76, 2002.
DOI : 10.1006/hbeh.1999.1521

S. Hu, J. A. Loo, and D. T. Wong, Human body fluid proteome analysis, PROTEOMICS, vol.109, issue.23, pp.6326-6353, 2006.
DOI : 10.1002/pmic.200600284

URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2910092

L. A. Tabak, Point-of-Care Diagnostics Enter the Mouth, Annals of the New York Academy of Sciences, vol.65, issue.1, pp.7-14, 2007.
DOI : 10.1126/science.1127610

L. M. Kaste, R. H. Selwitz, R. J. Oldakowski, J. A. Brunelle, D. M. Winn et al., Coronal caries in the primary and permanent dentition of children and adolescents 1-17 years of age: United States, JournalofDentalResearch, vol.75, pp.631-641, 1988.

M. Hauskrecht, R. Pelikan, and D. E. Malehorn, Feature Selection for Classification of SELDI-TOF-MS Proteomic Profiles, Applied Bioinformatics, vol.49, issue.9, pp.227-246, 2005.
DOI : 10.2165/00822942-200504040-00003

S. M. Weiss and C. A. Kulikowski, Computer Systems That Learn : Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning, and Expert Systems, 1991.

B. Efron and R. Tibshirani, An Introduction to the Bootstrap, 1993.
DOI : 10.1007/978-1-4899-4541-9

V. N. Vapnik, The Nature of Statistical Learning Theory, 1995.

C. J. Burges, A tutorial on support vector machines for pattern recognition, Data Mining and Knowledge Discovery, vol.2, issue.2, pp.121-167, 1998.
DOI : 10.1023/A:1009715923555

B. Schölkopf and A. J. Smola, Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond, 2002.

L. Breiman, Random forests, Machine Learning, pp.5-32, 2001.

B. J. Paster, S. K. Boches, and J. L. Galvin, Bacterial Diversity in Human Subgingival Plaque, Journal of Bacteriology, vol.183, issue.12, pp.3770-3783, 2001.
DOI : 10.1128/JB.183.12.3770-3783.2001

C. F. Streckfus, L. R. Bigler, and M. Zwick, The use of surface-enhanced laser desorption/ionization time-of-flight mass spectrometry to detect putative breast cancer markers in saliva: a feasibility study, Journal of Oral Pathology and Medicine, vol.3, issue.5, pp.292-300, 2006.
DOI : 10.1373/49.10.1615

O. H. Ryu, J. C. Atkinson, G. T. Hoehn, G. G. Illei, and T. C. Hart, Identification of parotid salivary biomarkers in Sjogren's syndrome by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry and two-dimensional difference gel electrophoresis, Rheumatology, vol.45, issue.9, pp.1077-1086, 2006.
DOI : 10.1093/rheumatology/kei212

H. Xie, N. L. Rhodus, R. J. Griffin, J. V. Carlis, and T. J. Griffin, A Catalogue of Human Saliva Proteins Identified by Free Flow Electrophoresis-based Peptide Separation and Tandem Mass Spectrometry, Molecular & Cellular Proteomics, vol.4, issue.11, pp.1826-1830, 2005.
DOI : 10.1074/mcp.D500008-MCP200

W. H. Arnold, A. Dorow, S. Langenhorst, Z. Gintner, J. Bánbán´bánóczy et al., Effect of fluoride toothpastes on enamel demineralization, BMC Oral Health, vol.35, issue.1, 2006.
DOI : 10.1159/000049109