The Comparison between Bayes and Certainty Factor Method of Expert System in Early Diagnosis of Dengue Infection

Abstract

The development of existing artificial intelligence technology has been widely applied in detecting diseases using expert systems. Dengue Infection is one of the diseases that is commonly suffered by the community and may cause in death. In this study, an expert diagnosis system for dengue infection is made by comparing between both Bayes method and Certainty Factor. The aims are to build an expert system using Bayes and Certainty Factor for early diagnosis of dengue infection and also to determine their level of accuracy. There are 80 data used in this study which are obtained from the medical records of Sekaran Health Center in Semarang City. The test results show that the level of accuracy obtained from 80 medical record data for Bayes method is 90% and the Certainty Factor method is 93,75%.

Comparative Analysis of Dempster-Shafer Method and Certainty Factor Method On Personality Disorders Expert Systems

“…In step 1, the calculation is done by multiplying the second input, that is, CF users and CF experts with the results of the values obtained will be accommodated to CF1, and to get the value of 2 it is necessary to repeat step 1. The next step in step 2 starts with the product has been done in step 1 [3,16].…”

Implementation of Certainty Factor Method for Identification of Pest Types on Dendrobium Based on Expert Systems

“…Hasil penelitiannya adalah metode certainty factor memiliki tingkat akurasi lebih baik dibandingkan metode dempster shafer. Penelitian [3] membandingkan metode certainty factor dan naïve bayes untuk diagnosis infeksi penyakit DBD menggunakan 3 penyakit dan 12 gejala Hasil penelitiannya adalah metode certainty factor memiliki tingkat akurasi lebih baik dibandingkan metode naïve bayes shafer sebesar 93%.…”

A Combination of Forward Chaining and Certainty Factor Methods for Early Detection of Fever : Dengue Hemorrhagic Fever, Malaria and Typhoid

“…The basic rules of the forward chaining method [10] While the certainty factor method is used to define a measure of certainty against a fact or rule and to describe the level of expert confidence in dealing with problems [6]. The following is the equation for the certainty factor method [9] : given evidence (e) between 0 and 1.…”

“…Several references related to the dengue hemorrhagic fever expert system that became the reference for researchers, namely the application of the Certainty Factor method for the diagnosis of Dengue Hemorrhagic Fever resulted in a CF of 80.909% [5], 90.4% [6], 97.6% [7] and 100% [8] so that the Certainty Factor method is able to properly diagnose Dengue Hemorrhagic Fever based on its symptoms. The next research is to compare the bayes method and the certainty factor method in the early detection of dengue infection, so that the bayes method accuracy rate is 90% while the certainty factor method has an accuracy rate of 93.75% [9]. Another expert system method used for the diagnosis of Dengue Hemorrhagic Fever is forward chaining.…”