| This is the second publication in a series aimed at providing models effective in predicting the degree of pain and discomfort in canines. The first paper presented forecasting models aimed at predicting activity levels in normal (control group) dogs. In this paper, the focus shifts to the evaluations of data drawn from both normal dogs and dogs suffering from Osteo-Arthritis: demographic data, normal activity data, pre-treatment activity data and post-treatment activity data. SAS Enterprise Miner and SAS JMP tools are used to generate regression and clustering models to predict changes in activity levels associated with the progression of arthritis. The predictive models provide a diagnostic basis for determining the degree of disease in a dog (based on demographics and activity levels) and provide for effective dosing of medications.
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Updated 03/19/2014