Tuberculosis is affected by mycobacterium tuberculosis. The bacteria commonly attack the lungs, but tuberculosis bacteria can violent any part of the body. This paper presents a rule-based system for Tuberculosis disease diagnosis to identify Tuberculosis disease timely. The system aims to deliver a monitor for health centers to assist the investigative process. A simple sampling technique is used for acquiring data. Data collection is acquired from document analysis, observation, and interviews to develop the proposed system. The acquired data is designed by using a decision tree structure to represent the diagnosis of tuberculosis disease. The proposed system is developed by SWI prolog and its interface is using Java programming language. The developed system has been evaluated by health centers’ domain experts. The performance of the proposed system has been achieved by 86%. Therefore, the developed knowledge-based has useful for diagnosing tuberculosis disease.
Skip Nav Destination
Article navigation
26 March 2024
EMERGING TRENDS IN SIGNAL PROCESSING, INSTRUMENTATION, POWER, CONTROL, AND AUTOMATION SYSTEMS
28–29 November 2022
Subang Jaya, Malaysia
Research Article|
March 26 2024
Development of knowledge based expert system for tuberculosis disease diagnosis: The case of ambo referral hospital
Tolera Guta;
Tolera Guta
b)
1
Department of Information Science, Bule Hora University
, Bule Hora, Ethiopia
Search for other works by this author on:
Felegeweyin Yifru;
Felegeweyin Yifru
a)
1
Department of Information Science, Bule Hora University
, Bule Hora, Ethiopia
a)Corresponding author: [email protected]
Search for other works by this author on:
P. Karthika;
P. Karthika
c)
2
Department of Computer Science, Erode Arts and Science College
, Erode, Tamil Nadu, India
Search for other works by this author on:
Anbarasan Anbarasa Kumar
Anbarasan Anbarasa Kumar
d)
3
School of Information Technology and Engineering, Vellore Institute of Technology
, India
Search for other works by this author on:
a)Corresponding author: [email protected]
AIP Conf. Proc. 2966, 050008 (2024)
Citation
Tolera Guta, Felegeweyin Yifru, P. Karthika, Anbarasan Anbarasa Kumar; Development of knowledge based expert system for tuberculosis disease diagnosis: The case of ambo referral hospital. AIP Conf. Proc. 26 March 2024; 2966 (1): 050008. https://doi.org/10.1063/5.0199619
Download citation file:
Pay-Per-View Access
$40.00
Sign In
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
25
Views
Citing articles via
Inkjet- and flextrail-printing of silicon polymer-based inks for local passivating contacts
Zohreh Kiaee, Andreas Lösel, et al.
Effect of coupling agent type on the self-cleaning and anti-reflective behaviour of advance nanocoating for PV panels application
Taha Tareq Mohammed, Hadia Kadhim Judran, et al.
Design of a 100 MW solar power plant on wetland in Bangladesh
Apu Kowsar, Sumon Chandra Debnath, et al.
Related Content
The evaluation of pulmonary tuberculosis (TB) control program at Bandarharjo Community Health Center Semarang city in 2021
AIP Conf. Proc. (May 2023)
The feasibility and acceptance of competency-based maternal neonatal referral system of the SISRUTE applications in Indonesia
AIP Conf. Proc. (May 2024)
Preparedness of health facilities to serve Covid-19 patients: What can be learned from R.A.A. Soewondo Hospital, district of Pati, Indonesia
AIP Conf. Proc. (May 2023)
SCCmec typing in methicillin-resistant Staphylococcus aureus (MRSA) isolates from surgical wards patients, Dr. Soetomo Hospital, Surabaya, Indonesia
AIP Conf. Proc. (January 2025)
Role of artificial intelligence for the curative field: A review
AIP Conf. Proc. (November 2023)