IX. DISCUSSION AND CONCLUSION
According to the measured results of the accuracy of
the disease diagnosis, it was found that our expert system
provided the accuracy of 93.56 % which higher than the
previous research. Such as the disease diagnosis in
knowledge base system of dairy disease [3] gave the
accuracy of 83.40 %. Furthermore, from the evaluation
! $ !+ $$#farmers and
animal husbandmen were 4.80 and 4.65 respectively, which
were a high value. The accuracy of the disease diagnosis
!+ with our expert system, it is
caused by; (1) The model of knowledge representation for
inference used the efficient factors which resulted in
accurate disease diagnosis. The used factors were gender,
age range, symptom, symptom significant weight and
certainty factor of symptom occurred. (2) The system
method used to obtain all symptoms completely which
resulted in accurate disease diagnosis. Such as providing the
symptom description and images caused the users specified
the certainty factor of symptom accurately and questioning
additional symptoms of possible disease. (3) Our mobile
application has high efficiency and the application usage is
easy and convenient.