Implementation of the Certainty Factor Method for Early Detection of Cirrhosis Based on Android

Abstract

In the digital era, computers already have an important role in the medical world. One of the roles of the computer is to help diagnose a patient's disease. Cirrhosis is a disease that attacks all parts of the liver with the formation of connective tissue characterized by nodules. Cirrhosis is also a chronic liver disease in which the liver is slowly damaged which lasts for a long time. This damage can expand so that the liver can stop functioning. This condition is called liver failure. An application to detect an illness desperately needs an expert system that functions as the brain of a machine. Accurate and precise calculations are needed to diagnose symptoms so that they can infer output using the certainty Factor (CF). This paper describes a process to detect liver disease based on weighting combinations of symptoms. A Smartphone application is produced which requires patients to answer about ten questions. The final result of this application is a diagnosis of cirrhosis. From the results of the experiment, it can be concluded that the accuracy of this application is 100%