Predicting mastitis in dairy cows using neural networks and generalized additive models: A comparison
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Søren Højsgaard | David Edwards | Smitha Ankinakatte | Peter Løvendahl | E. Norberg | D. Edwards | P. Løvendahl | S. Højsgaard | E. Norberg | Smitha Ankinakatte
[1] T. Larsen,et al. Estimating degree of mastitis from time-series measurements in milk: a test of a model based on lactate dehydrogenase measurements. , 2007, Journal of dairy science.
[2] I. R. Korsgaard,et al. Time-series models on somatic cell score improve detection of mastitis , 2008 .
[3] Brian D. Ripley,et al. Pattern Recognition and Neural Networks , 1996 .
[4] T. Larsen,et al. L-lactate dehydrogenase and N-acetyl-β-D-glucosaminidase activities in bovine milk as indicators of non-specific mastitis , 2006, Journal of Dairy Research.
[5] Gene H. Golub,et al. Missing value estimation for DNA microarray gene expression data: local least squares imputation , 2005, Bioinform..
[6] Martin J. Green,et al. On distinguishing cause and consequence: do high somatic cell counts lead to lower milk yield or does high milk yield lead to lower somatic cell count? , 2006, Preventive veterinary medicine.
[7] R. Tibshirani,et al. Generalized additive models for medical research , 1986, Statistical methods in medical research.
[8] Henk Hogeveen,et al. Economic aspects of mastitis: New developments , 2011, New Zealand veterinary journal.
[9] N. Friggens,et al. Quantifying degree of mastitis from common trends in a panel of indicators for mastitis in dairy cows. , 2010, Journal of dairy science.
[10] P Løvendahl,et al. Covariance among milking frequency, milk yield, and milk composition from automatically milked cows. , 2011, Journal of dairy science.
[11] Chris Chatfield,et al. The Analysis of Time Series: An Introduction , 1981 .
[12] Dorothy T. Thayer,et al. EM algorithms for ML factor analysis , 1982 .
[13] C J Rutten,et al. Invited review: sensors to support health management on dairy farms. , 2013, Journal of dairy science.
[14] A. Brand,et al. Application of a neural network to analyse on-line milking parlour data for the detection of clinical mastitis in dairy cows , 1995 .
[15] H Hogeveen,et al. Economic effects of bovine mastitis and mastitis management: A review , 2007, The Veterinary quarterly.
[16] Schalm Ow,et al. Effect of Deoxyribonuclease on the California Test for Mastitis , 1962 .
[17] H Hogeveen,et al. Electrical conductivity of milk: ability to predict mastitis status. , 2004, Journal of dairy science.
[18] Henk Hogeveen,et al. Mastitis in dairy production. Current knowledge and future solutions , 2005 .
[19] P. Rousseeuw,et al. Wiley Series in Probability and Mathematical Statistics , 2005 .
[20] Herman Mollenhorst,et al. Sensors and Clinical Mastitis—The Quest for the Perfect Alert , 2010, Italian National Conference on Sensors.
[21] Joseph J. LaViola. Double exponential smoothing: an alternative to Kalman filter-based predictive tracking , 2003 .
[22] T. Larsen,et al. A model for detection of individual cow mastitis based on an indicator measured in milk. , 2006, Journal of dairy science.