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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| Published in | Informatica (Ljubljana) Vol. 46; no. 6; pp. 117 - 123 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Ljubljana
Slovenian Society Informatika / Slovensko drustvo Informatika
01.05.2022
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0350-5596 1854-3871 1854-3871 |
| DOI | 10.31449/inf.v46i6.3947 |
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| Abstract | 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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| AbstractList | 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. |
| Author | Widjaja, Christian Teguh Prasetya Wenji, Christian Imanuel Wirasbawa, Nicholas Dwiarto Hansun, Seng |
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| Copyright | 2022. This work is published under https://creativecommons.org/licenses/by/3.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
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| DOI | 10.31449/inf.v46i6.3947 |
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| Snippet | Despite being a curable disease, Tuberculosis has become the leading cause of death of infectious disease prior to COVID-19. It has asymptomatic infections... |
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| SubjectTerms | Algorithms Application programming interface Asymptomatic Chaining Expert systems Infectious diseases Knowledge Systems design Tuberculosis |
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| Title | Expert API for Early Detection of TB Disease with Forward Chaining and Certainty Factor Algorithms |
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