BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//University of Liverpool Computer Science Seminar System//v2//EN
BEGIN:VEVENT
DTSTAMP:20260418T174917Z
UID:Seminar-dept-266@lxserverM.csc.liv.ac.uk
ORGANIZER:CN=Lutz Oettershagen:MAILTO:Lutz.Oettershagen@liverpool.ac.uk
DTSTART:20111011T160000
DTEND:20111011T170000
SUMMARY:School Seminar Series
DESCRIPTION:Prof. Kenton Morgan: Chicken and Chips: How Chickens  can Benefit from Machine Learning\n\nIn collaboration with DIMACS, Rutgers University New Jersey we have been exploring the epidemiological application of Support Vector Machine learning to improve the health of broiler chickens.\n\n\n\nEpidemiology is the study of the frequency, distribution and determinants of disease (and health) in populations. Observational epidemiology analyses the patterns of a disease to identify the variables associated with its occurrence (risk factors), in time and space. Logisitic regression models are the industry standard for doing this.\n\n\n\nIn this BBSRC funded project Support Vector Machine (SVM) is applied to broiler flock management data to identify the risk factors for hock burn - the chicken equivalent of bed sores.\n\n\n\nThis is the first time that machine learning has been applied to disease prevention in any species. It has the potential to improve the health and welfare of broiler chickens worldwide and also to be applied to human healthcare.\n\n\n\nWe are looking for collaborators in Computer Science at Liverpool to progress this with our partners at DIMACS.\n\nhttps://www.csc.liv.ac.uk/research/seminars/abstract.php?id=266
LOCATION:ALT
END:VEVENT
END:VCALENDAR