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

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...

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Bibliographic Details
Published inInformatica (Ljubljana) Vol. 46; no. 6; pp. 117 - 123
Main Authors Wirasbawa, Nicholas Dwiarto, Widjaja, Christian Teguh Prasetya, Wenji, Christian Imanuel, Hansun, Seng
Format Journal Article
LanguageEnglish
Published Ljubljana Slovenian Society Informatika / Slovensko drustvo Informatika 01.05.2022
Subjects
Algorithms
Application programming interface
Asymptomatic
Chaining
Expert systems
Infectious diseases
Knowledge
Systems design
Tuberculosis
Indonesia
Online AccessGet full text
ISSN0350-5596
1854-3871
1854-3871
DOI10.31449/inf.v46i6.3947

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Summary: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.
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ISSN:0350-5596
1854-3871
1854-3871
DOI:10.31449/inf.v46i6.3947