Animals are prone to skin diseases if not treated properly. It can happen because many bacteria and fungi attached to the skin of
animals are not treated properly. Skin diseases in animals have diverse causes as well as diverse types of the consequences, and
early diagnosis are diverse. Forward chaining itself is data-driven because the inference starts from the available information
and is then inferred. Certainty Factor uses a definite or uncertain hypothesis method that uses metrics, whereas, forward
chaining uses data driven from available information and after that comes the conclusion. With both methods designed to
determine the early diagnosis of cat disease. Some diverse symptoms and conclusions, as well as hypotheses obtained from
medical experts, are used to diagnose the onset of cat skin disease symptoms.
