Modelling patterns of evidence in Bayesian networks: A case-study in classical swine fever

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6178 LNAI, Issue , 2010, Pages 675-684

  Van Der Gaag, Linda C ^a   Bolt, Janneke ^a   Loeffen, Willie ^b   Elbers, Armin ^b  

^a UTRECHT UNIVERSITY   (Netherlands)

^b WAGENINGEN UNIVERSITY   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

EARLY DETECTION; GENERAL APPROACH; PROBLEM DOMAIN; RELEVANT PATTERNS;

ARTIFICIAL INTELLIGENCE; DATA PROCESSING; DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS; KNOWLEDGE BASED SYSTEMS; SECURITY OF DATA; SPEECH RECOGNITION;

BAYESIAN NETWORKS;

EID: 77954868635     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-14049-5_69     Document Type: Conference Paper

References (8)

1. van der Gaag, L.C., Renooij, S., Aleman, B.M.P., Taal, B.G.: Evaluation of a probabilistic model for staging of oesophageal carcinoma. In: Medical Infobahn for Europe: Proceedings of MIE 2000 and GMDS 2000, pp. 772-776. IOS Press, Amsterdam (2000)
2. Steeneveld, W., van der Gaag, L.C., Barkema, H.W., Hogeveen, H.: Providing probability distributions for the causal pathogen of clinical mastitis using naive Bayesian networks. Journal of Dairy Science 92, 2598-2609 (2009)
3. Charitos, T., van der Gaag, L.C., Visscher, S., Schurink, K., Lucas, P.: A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. In: Holmes, J.H., Peek, N. (eds.) Proceedings of the 10th Intelligent Data Analysis in Medicine and Pharmacology Workshop, Aberdeen, pp. 32-37 (2005)
4. Abramson, B., Brown, J., Edwards, W., Murphy, A., Winkler, R.L.: Hailfinder: A Bayesian system for forecasting severe weather. International Journal of Forecasting 12, 57-71 (1996) (Pubitemid 126160223)
5. Elbers, A.R.W., Stegeman, A., Moser, H., Ekker, H.M., Smak, J.A., Pluimers, F.H.: The classical swine fever epidemic 1997-1998 in the Netherlands: descriptive epidemiology. Preventive Veterinary Medicine 42, 157-184 (1999)
6. Elbers, A.R.W., Bouma, A., Stegeman, J.A.: Quantitative assessment of clinical signs for the detection of classical swine fever outbreaks during an epidemic. Veterinary Microbiology 85, 323-332 (2002)
7. Ephraim, Y., Merhav, N.: Hidden Markov processes. IEEE Transactions on Information Theory 48, 1518-1569 (2002)
8. Ghahramani, Z., Jordan, M.: Factorial hiddenMarkov models. Machine Learning 29, 245-273 (1997)