This paper tests the efficiency of different patterns to predict three diseases in intensive pig farming (tail-biting, pen-fouling and diarrhoea).
It uses techniques from signal processing to extract data and compares the different patterns and how the contribute to the occurrence of each events.
The purpose of this paper is to better understand what typical patterns in different variables can lead to these 3 specific events.
