Simplify the interpretation of alert lists for clinical mastitis in automatic milking systems

[1]  Silja Renooij,et al.  Aligning Bayesian Network Classifiers with Medical Contexts , 2009, MLDM.

[2]  Anders Ringgaard Kristensen,et al.  An object-oriented Bayesian network modeling the causes of leg disorders in finisher herds. , 2009, Preventive veterinary medicine.

[3]  T. Lam,et al.  Characterization of distributions of somatic cell counts. , 2009, Journal of dairy science.

[4]  S. Pyörälä,et al.  Detection of clinical mastitis with the help of a thermal camera. , 2008, Journal of dairy science.

[5]  J. T. Napel,et al.  Alternative somatic cell count traits as mastitis indicators for genetic selection. , 2008, Journal of dairy science.

[6]  R. Huirne,et al.  The influence of cow factors on the incidence of clinical mastitis in dairy cows. , 2008, Journal of dairy science.

[7]  K. Svennersten-Sjaunja,et al.  Pros and cons of automatic milking in Europe. , 2008, Journal of animal science.

[8]  Henk Hogeveen,et al.  Performance evaluation of systems for automated monitoring of udder health: analytical issues and guidelines , 2008 .

[9]  H. Mollenhorst,et al.  Decision tree induction for detection of clinical mastitis using data from six Dutch dairy herds milking with an automatic milking system , 2008 .

[10]  G. A. Mein,et al.  Performance evaluation of systems for automated monitoring of udder health: would the real gold standard please stand up? , 2008 .

[11]  W. Browne,et al.  Cow, farm, and management factors during the dry period that determine the rate of clinical mastitis after calving. , 2007, Journal of dairy science.

[12]  H. Stryhn,et al.  The effect of season on somatic cell count and the incidence of clinical mastitis. , 2007, Journal of dairy science.

[13]  H Hogeveen,et al.  Economic effects of bovine mastitis and mastitis management: A review , 2007, The Veterinary quarterly.

[14]  T. Larsen,et al.  A model for detection of individual cow mastitis based on an indicator measured in milk. , 2006, Journal of dairy science.

[15]  A. C. Whist,et al.  Associations between somatic cell counts at calving or prior to drying-off and future somatic cell counts, in the remaining or subsequent lactation. , 2006, The Journal of dairy research.

[16]  U. Emanuelson,et al.  Effects of housing, management, and health of dairy heifers on first-lactation udder health in southwest Sweden. , 2006, Journal of dairy science.

[17]  Wendy W Chapman,et al.  Classification of emergency department chief complaints into 7 syndromes: a retrospective analysis of 527,228 patients. , 2005, Annals of emergency medicine.

[18]  Linda C. van der Gaag,et al.  Haskell ready to dazzle the real world , 2005, Haskell '05.

[19]  R. Veerkamp,et al.  Associations between somatic cell count patterns and the incidence of clinical mastitis. , 2005, Preventive veterinary medicine.

[20]  C. S. Kristensen,et al.  A biological network describing infection with Mycoplasma hyopneumoniae in swine herds. , 2004, Preventive veterinary medicine.

[21]  K A Weigel,et al.  Genetic selection for health traits using producer-recorded data. I. Incidence rates, heritability estimates, and sire breeding values. , 2004, Journal of dairy science.

[22]  Martin J. Green,et al.  Somatic cell count distributions during lactation predict clinical mastitis. , 2004, Journal of dairy science.

[23]  Nir Friedman,et al.  Bayesian Network Classifiers , 1997, Machine Learning.

[24]  David J. Wilson,et al.  Monitoring udder health and milk quality using somatic cell counts. , 2003, Veterinary research.

[25]  Joachim Krieter,et al.  Improving oestrus detection by combination of activity measurements with information about previous oestrus cases , 2003 .

[26]  H Hogeveen,et al.  Sensors and management support in high-technology milking. , 2003, Journal of animal science.

[27]  W Ouweltjes,et al.  Detection model for mastitis in cows milked in an automatic milking system. , 2001, Preventive veterinary medicine.

[28]  R M de Mol,et al.  Application of fuzzy logic in automated cow status monitoring. , 2001, Journal of dairy science.

[29]  Finn V. Jensen,et al.  Bayesian Networks and Decision Graphs , 2001, Statistics for Engineering and Information Science.

[30]  I J McKendrick,et al.  Using a Bayesian belief network to aid differential diagnosis of tropical bovine diseases. , 2000, Preventive veterinary medicine.

[31]  M. Nielen,et al.  Low somatic cell count: a risk factor for subsequent clinical mastitis in a dairy herd. , 2000, Journal of dairy science.

[32]  H. Seegers,et al.  Association between milk somatic cell counts up to 400,000 cells/ml and clinical mastitis in French Holstein cows , 1998, Veterinary Record.

[33]  H. Barkema,et al.  Incidence of clinical mastitis in dairy herds grouped in three categories by bulk milk somatic cell counts. , 1998, Journal of dairy science.

[34]  A A Dijkhuizen,et al.  Short- and long-term production losses and repeatability of clinical mastitis in dairy cattle. , 1993, Journal of dairy science.

[35]  I. Dohoo,et al.  Evaluation of changes in somatic cell counts as indicators of new intramammary infections , 1991 .