Expert system for diagnosing disease risk from urine tests

Abstract

The research presents the expert system for diagnosing the risk from urine tests by collecting diagnostic information from documents, books, experts, and the results of urine tests. The sample was 9,961 to create knowledge under decision tree technique. The result of the study was shown that the systems could approximately diagnose the risk of 12 types of disease, including diabetes, infected, gallstone, tumor, bladder inflammation, urological disorders, kidney disease, SLE, jaundice, G6PD deficiency, infectious disease, and diabetes insipidus. Also, the model gained from the creation of determinability tree in diagnosing the diseases created 96 IF-THEN Rules that used the strategy of forward chaining inferences in diagnosing the risk.