Expert API for Early Detection of TB Disease with Forward Chaining and Certainty Factor Algorithms

被引：0

作者：

Wirasbawa, Nicholas Dwiarto ^{[1
]}

Widjaja, Christian Teguh Prasetya ^{[1
]}

Wenji, Christian Imanuel ^{[1
]}

Seng Hansun ^{[1
]}

机构：

[1] Univ Multimedia Nusantara, Informat Dept, Tangerang, Indonesia

来源：

INFORMATICA-AN INTERNATIONAL JOURNAL OF COMPUTING AND INFORMATICS | 2022年 / 46卷 / 06期

关键词：

certainty factor; expert system; forward chaining; REST API; tuberculosis;

D O I：

10.31449/inf.v46i6.3947

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

Despite being a curable disease, Tuberculosis has become the leading cause of death of infectious disease prior to COVID-19. It has asymptomatic infections that are hard to detect for weeks or years. Although there have been many studies on Tuberculosis disease detection and prevention, very few of them discuss the creation of an expert system based on API. Hence, in this study we propose an Expert API that implements Forward Chaining and Certainty Factor algorithms for the task of Tuberculosis early detection. The evaluation of the proposed system was carried out using several testing methods and in-depth interviews with medical experts. We got a satisfactory result for this study.

引用

页码：117 / 123

页数：7

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