Artificial neural network prediction of viruses in shellfish

Applied and Environmental Microbiology

Volumn 71, Issue 9, 2005, Pages 5244-5253

  Brion, Gail ^a   Viswanathan, Chandramouli ^b   Neelakantan, T R ^c   Lingireddy, Srinivasa ^a   Girones, Rosina ^d   Lees, David ^e   Allard, Annika ^f   Vantarakis, Apostolos ^g  

^a UNIVERSITY OF KENTUCKY   (United States)

^b INDIAN INSTITUTE OF TECHNOLOGY GUWAHATI   (India)

^c SASTRA UNIVERSITY   (India)

^d UNIVERSITY OF BARCELONA   (Spain)

^e CENTRE FOR ENVIRONMENT   (United Kingdom)

^f UMEÅ UNIVERSITY HOSPITAL   (Sweden)

^g UNIVERSITY OF PATRAS   (Greece)

Author keywords

[No Author keywords available]

Indexed keywords

DATA REDUCTION; LOGISTICS; MATHEMATICAL MODELS; REGRESSION ANALYSIS; VIRUSES;

ENTEROVIRUS (EV); MULTIVARIATE LOGISTIC REGRESSION (MLR); NORWALK-LIKE VIRUS (NLV); SHELLFISH;

NEURAL NETWORKS;

ARTIFICIAL NEURAL NETWORK; VIRUS;

ARTICLE; ARTIFICIAL NEURAL NETWORK; DATA BASE; FOOD CONTAMINATION; GEOGRAPHIC DISTRIBUTION; GREECE; HUMAN ADENOVIRUS; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; NONHUMAN; POLYMERASE CHAIN REACTION; SHELLFISH; SPAIN; SWEDEN; UNITED KINGDOM; VALIDATION PROCESS; VIRAL CONTAMINATION; VIRUS IDENTIFICATION;

ADENOVIRUSES, HUMAN; ANIMALS; ENTEROVIRUS; EUROPE; LOGISTIC MODELS; MODELS, BIOLOGICAL; MOLLUSCA; MULTIVARIATE ANALYSIS; NEURAL NETWORKS (COMPUTER); NOROVIRUS; POLYMERASE CHAIN REACTION; PREDICTIVE VALUE OF TESTS; SHELLFISH;

ENTEROVIRUS; HUMAN ADENOVIRUS; NARCISSUS LATENT VIRUS; NORWALK-LIKE VIRUS;

EID: 25144444532     PISSN: 00992240     EISSN: None     Source Type: Journal    
DOI: 10.1128/AEM.71.9.5244-5253.2005     Document Type: Article

References (21)

1. Abad, F. X., R. M. Pinto, R. Gajardo, and A. Bosch. 1997. Viruses in mussels: public health implications and depuration. J. Food Prot. 60:677-681.
2. Brion, G. M., S. Lingireddy, T. R. Neelakantan, M. Wang, R. Girones, D. Lees, A. Allard, and A. Vantarakis. 2004. Probing Norwalk-like virus presence in shellfish with artificial neural networks. Water Sci. Technol. 50(1):125-129.
3. Brion, G. M., T. R. Neelakantan, and S. Lingireddy. 2002. A neural network based classification scheme for sorting sources and ages of fecal contamination in water. Water Res. 36:3765-3774.
4. Donovan, T. J., S. Gallacher, N. J. Andrews, M. H. Greenwod, J. Graham, J. E. Russell, D. Roberts, and R. Lee. 1998. Modification of the standard method used in the United Kingdom for counting Escherichia coli in live bivalve molluscs. Commun. Dis. Public Health 1:188-196.
5. Doré, W. J., and D. Lees. 1995. Behavior of Escherichia coli and male-specific bacteriophage in environmentally contaminated bivalve molluscs before and after depuration. Appl. Environ. Microbiol. 61:2830-2834.
6. Formiga-Cruz, M., A. K. Allard, A. C. Conden-Hansson, K. Henshilwood, B. E. Hernroth, J. Jofre, D. N. Lees, F. Lucena, M. Papapetropoulou, R. E. Rangdale, A. Tsibouxi, A. Vantarakis, and R. Girones. 2003. Evaluation of potential indicators of viral contamination in shellfish and their applicability to diverse geographical areas. Appl. Environ. Microbiol. 69:1556-1563.
7. Formiga-Cruz, M., G. Tofino-Quesada, S. Bofill-Mas, D. N. Lees, K. Henshilwood, A. K. Allard, A. C. Conden-Hansson, B. E. Hernroth, A. Vantarakis, A. Tsibouxi, M. Papapetropoulou, M. D. Furones, and R. Girones. 2002. Distribution of human viral contamination in shellfish from different growing areas in Greece, Spain, Sweden, and the United Kingdom. Appl. Environ. Microbiol. 68:5990-5998.
8. Hernroth, B. E., A.-C. Conden-Hansson, A.-S. Rehnstam-Holm, R. Girones, and A. K. Allard. 2002. Environmental factors influencing human viral pathogens and their potential indicator organisms in the blue mussel, Mytilus edulis: the first Scandiavian report. Appl. Environ. Microbiol. 68:4523-4533.
9. Hopfield, J. J. 1982. Neural networks and physical systems with emergent collective computational abilities. Proc. Natl. Acad. Sci. USA 79:2554-2558.
10. International Organization for Standardization. 1996. Water quality. Detection and enumeration of bacteriophages, part 1: enumeration of F-specific RNA bacteriophages. ISO 10705-1. International Organization for Standardization, Geneva, Switzerland.
11. International Organization for Standardization. 1999. Water quality. Detection and enumeration of bacteriophages, part 2: enumeration of somatic coliphages. ISO/FDIS 10705-2. International Organization for Standardization. Geneva, Switzerland.
12. International Organization for Standardization. 1999. Water quality. Detection and enumeration of bacteriophages, part 4: enumeration of bacteriophages infecting Bacteroides fragilis. ISO/DIS 10705-4. International Organization for Standardization, Geneva, Switzerland.
13. Kim, C. Y., G. J. Bae, S. W. Hong, C. H. Park, H. K. Moon, and H. S. Shin. 2001. Neural network based prediction of ground surface settlements due to tunneling. Comput. Geotechnics 28:517-547.
14. Lee, R. J., and O. C. Morgan. 2003. Environmental factors influencing the microbiological contamination of commercially harvested shellfish. Water Sci. Technol. 47(3):65-70.
15. Masters, T. 1993. Practical neural network recipes in C++. Academic Press. Boston, Mass.
16. Neurosort Ver II. 2004. Department of Civil Engineering, University of Kentucky, Lexington.
17. Rippey, S. R. 1994. Infectious diseases associated with molluscan shellfish consumption. Clin. Microbiol. Rev. 7:419-425.
18. Rumelhart, D. E., G. E. Hinton, and R. J. Williams. 1986. Learning internal representation by error propagation, p. 318-362. In D. E. Rumelhart and J. L. McClelland (ed.), Parallel distributed processing: explorations in the microstructure of cognition, vol. 1. MIT Press. Cambridge, Mass.
19. Sarle, W. S. (ed.). 1997. Neural Network FAQ, part 3 of 7: generalization. Periodic posting to the Usenet newsgroup comp.ai.neural-nets, ftp://ftp.sas.com/pub/neural/FAQ3.html#questions.
20. Schwab K. J., F. H. Neill, M. K. Estes, T. G. Metcalf, and R. L. Atmar. 1998. Distribution of Norwalk virus within shellfish following bioaccumulation and subsequent depuration by detection using RT-PCR. J. Food Prot. 61:1674-1680.
21. Scott, T. M., J. B. Rose, T. M. Jenkins, S. R. Farrah, and J. Lukasik. 2002. Microbial source tracking: current methodology and future directions. Appl. Environ. Microbiol. 68:5796-5803.