Decision support system for diagnosing diseases in dogs from behaviors using text mining technique

This research aims to develop a decision system for diagnosing diseases in dogs from behavior with text mining techniques. To help dog owners to diagnose the disease from the behavior of the pet dog in order to be able to recognize the disease that may occur or already occur of the pet dog Measure the accuracy of the data and satisfaction in using the system by using questionnaires as tools Evaluation of accuracy of data with 80 percent accuracy and accuracy in diagnosis is 80 percent accurate