Expert System for the Timely Diagnosis of Infectious Diseases

Expert System for the Timely Diagnosis of Infectious Diseases
  IJETT-book-cover           
  
© 2023 by IJETT Journal
Volume-71 Issue-3
Year of Publication : 2023
Author : Raúl Jáuregui-Velarde, Pedro Molina-Velarde, Cesar Yactayo-Arias, Laberiano Andrade-Arenas
DOI : 10.14445/22315381/IJETT-V71I3P222

How to Cite?

Raúl Jáuregui-Velarde, Pedro Molina-Velarde, Cesar Yactayo-Arias, Laberiano Andrade-Arenas, "Expert System for the Timely Diagnosis of Infectious Diseases," International Journal of Engineering Trends and Technology, vol. 71, no. 3, pp. 215-226, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I3P222

Abstract
Infectious diseases such as COVID-19, dengue, diphtheria, etc., are spreading throughout the world, just like in Peru. Some of the symptoms of these diseases are similar. Rapid diagnosis is not available in this case, especially in regions with limited medical facilities. In addition, some people are unaware of the symptoms caused by these diseases. The objective of the research is to design a rule-based web expert system prototype using the Buchanan and Rational Unified Process (RUP) methodology and evaluate to determine the feasibility of building the system for early detection and timely treatment of infectious diseases such as COVID-19, Zika, Dengue, Diphtheria, Influenza, Chikungunya, and Monkeypox. The result was a prototype of an expert system with friendly and easy-to-use interfaces. In addition, the quality level of the prototype was evaluated through expert judgment, who analyzed the system's efficiency, usability, security, and functionality. After calculating the scores of the evaluated criteria, the total average was 4.74 out of 3, which is the minimum average for the feasibility of the expert system to be considered acceptable, considering the level of quality. In conclusion, it was possible to design and evaluate the expert system prototype. In addition, the results also show that it is feasible to build the proposed system for the early detection and treatment of infectious diseases for the benefit of people's health.

Keywords
Buchanan, Dengue, Expert system, Health, Infectious disease.

References
[1] Suman Pandey, D. Kumar Gour, and V. Sharma, “Comparative Study on Classification of Thyroid Diseases,” International Journal of Engineering Trends and Technology, vol. 28, no. 9, pp. 457–460, 2015. Google Scholar | CrossRef | Publisher Link
[2] Nurul Nadiah Abd Rahman, Marina Yusoff, and Murizah Kassim, “HOG and Haralick Feature Extractions with Machine Learning Methods for Covid-19 X-Ray Image Classification,” International Journal of Engineering Trends and Technology, vol. 70, no. 10, pp. 8–17, 2022. CrossRef | Publisher Link
[3] Muammer Turkoglu, “COVIDetectioNet: COVID-19 Diagnosis System Based on X-Ray Images Using Features Selected From Pre-Learned Deep Features Ensemble,” Applied Intelligence, vol. 51, no. 3, pp. 1213-1226, 2021. Google Scholar | CrossRef | Publisher Link
[4] Taimoor Hassan, “A Global Update on COVID-19 Pandemic,” Proceedings of the Pakistan Academy of Sciences, vol. 58, no. 4, pp. 1–4, 2022. CrossRef | Publisher Link
[5] Hilda Fahlena et al., “Analysis of a Coendemic Model of COVID-19 and Dengue Disease,” Communication in Biomathematical Sciences, vol. 4, no. 2, pp. 138–151, 2021. CrossRef | Publisher Link
[6] Istiadi Istiadi et al., “Infectious Disease Expert System Using Dempster Shafers with Recommendations for Health Services,” Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), vol. 4, no. 1, pp. 17-27, 2020. Google Scholar | CrossRef | Publisher Link
[7] Sumera Zaib et al., “Machine Intelligence Techniques for the Identification and Diagnosis of COVID-19,” Current Medicinal Chemistry, vol. 28, no. 26, 2021. Google Scholar | CrossRef | Publisher Link
[8] Smriti Mishra et al., “A Review: Machine Learning Approaches in the Diagnosis of Infectious Diseases,” Bulletin of Electrical Engineering and Informatics, vol. 11, no. 6, pp. 3509–3520, 2022. Google Scholar | CrossRef | Publisher Link
[9] S. K. Brooks, D. Weston, and N. Greenberg, “Psychological Impact of Infectious Disease Outbreaks on Pregnant Women: Rapid Evidence Review,” Public Health, vol. 189, pp. 29-36, 2020. Google Scholar | CrossRef | Publisher Link
[10] Aida Musyarrofah, “Mortality and Morbidity among Pregnant Women with COVID-19 Infection: A Meta-Analysis,” International Journal of Public Health Science, vol. 11, no. 4, pp. 1324–1332, 2022. CrossRef | Publisher Link
[11] Andrew Dwi Permana, I Made Arsa Suyadnyaand, and Duman Care Khrisne, “The Design of Expert System for Determining the Initial Diagnosis of Tropical Infectious Diseases in Indonesia with Naive Bayes Method-Based Android,” Jurnal Terapan Teknologi Informasi, vol. 2, no. 2, 2019. Google Scholar | CrossRef | Publisher Link
[12] Jigar K Patel, “ERP Implementation and Successful Post Sustainment,” International Journal of Computer Trends and Technology, vol. 68, no. 10, pp. 44-48, 2020. Google Scholar | CrossRef | Publisher Link
[13]Faiqotul Himma Ramadhanti, and Ade Eviyanti, “Expert System for Diagnosing Diseases in Children Under Five Uses Certainty Factor Based Websites,” Procedia of Engineering and Life Science, vol. 1, no. 2, 2021. Google Scholar | Publisher Link
[14] Sentot Achmadi, Ali Mahmudi, and Anggiana Nayang Gita “Expert System Design to Diagnos of Virus Infection Disease in Children with Certainty Factor Method,” Journal of Science and Applied Engineering, vol. 1, no. 2, 2018. Google Scholar | CrossRef | Publisher Link
[15] Fandy Rachmatulloh and Ade Eviyanti, “Expert System for Diagnosing Liver Disease Using Web-Based Bayes Theorem Method Metode,” Procedia of Engineering and Life Science, vol. 1, no. 2, 2021. Google Scholar | CrossRef | Publisher Link
[16] Minimol Anil Job, and S. Mustafa Alseba, “A Software Engineering Approach in Design and Development of a Mobile Application,” International Journal of Engineering Trends and Technology, vol. 69, no. 5, pp. 32-40, 2021. Google Scholar | Publisher Link
[17] A. B. Myrzakerimova, and M. O. Nurmaganbetova, “Development of an Automated Expert System for Diagnosing Diseases of Internal Organs,” Proceedings of the 6th International Conference on Engineering & MIS, no. 27, 2020. Google Scholar | CrossRef | Publisher Link
[18]Y. Yulisman, “The System Day Mendiagnosa Benyamid Demam Perdara Dengue (Dabata) Mangunagan Methode Borwardu Signing Purposes Web,” Jurnal Ilmu Komputer, vol. 8, no. 2, 2019. Google Scholar | CrossRef | Publisher Link
[19] khoirunnisa devita sari, and Ade Eviyanti, “Expert System for Diagnosing Human Skin Diseases Using Web-Based Naïve Bayes Method,” Procedia of Engineering and Life Science, vol. 1, no. 2, 2021. Google Scholar | CrossRef | Publisher Link
[20]Dr.R.Surendiran, "Secure Software Framework for Process Improvement," SSRG International Journal of Computer Science and Engineering, vol. 3, no. 12, pp. 19-25, 2016. Google Scholar | CrossRef | Publisher Link
[21]Aji Prasetya Wibawa, Muhammad Ashar, and Syaad Patmanthara, “Transfer Teknologi Pembuatan Curriculum Vitae Dan Poster Untuk Siswa Pondok Pesantren Al-Munawwaroh,” Belantika Pendidikan, vol. 4, no. 2, 2021. Google Scholar | CrossRef | Publisher Link
[22] Sebastian Raschka, Joshua Patterson, and Corey Nolet, “Machine Learning in Python: Main developments and Technology Trends in Data Science, Machine Learning, and Artificial Intelligence,” Information , vol. 11, no. 4. 2020. Google Scholar | CrossRef | Publisher Link
[23] M.Upendra Kumar, “Introduction to Agile Security Architecture Model,” SSRG International Journal of Computer Science and Engineering, vol. 1, no. 5, pp. 9-13, 2014. CrossRef | Publisher Link
[24] Reddy Sreenivasulu et al., “Inverse Kinematic Solution for Five Bar Parallel Linkage Planar Manipulator using Python and Optimization by Taguchi Method,” International Journal of Engineering Trends and Technology, vol. 69, no. 5, pp. 94–100, 2021. Google Scholar | CrossRef | Publisher Link
[25] Cristian L. Vidal-Silva et al., “Academic Experience in Rapid Development of web Information Systems with Python and Django” Formacion Universitaria, vol. 14, no. 5, 2021. Google Scholar | CrossRef | Publisher Link
[26] M.Upendra Kumar, “Design and Implementation of Agile Security Architecture Model,” International Journal of P2P Network Trends and Technology (IJPTT), vol. 4, no. 5, pp. 29-34, 2014. Google Scholar
[27] Svajone Bekesiene et al., “The Complex Systems for Conflict Interaction Modelling to Describe a Non-Trivial Epidemiological Situation,” Mathematics, vol. 10, no. 4, 2022. Google Scholar | CrossRef | Publisher Link
[28] Dhruv Sharma and C. Fancy, “Cloud Storage Security using Firebase and Fernet Encryption,” International Journal of Engineering Trends and Technology, vol. 70, no. 9, pp. 371–375, 2022. CrossRef | Publisher Link
[29] Emin Güney, and Nurdoğan Ceylan “Response Times Comparison of Mongo DB and PostgreSQL Databases in Specific Test Scenarios,” Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 436 pp. 178–188, 2022. Google Scholar | CrossRef | Publisher Link
[30] Nahrun Hartono, and Erfina Erfina “Comparison of Stored Procedures on Relational Database Management System,” Tech-E, vol. 4, no. 2, 2021. Google Scholar | CrossRef | Publisher Link
[31] Charles Edeki, and Amanda Prince, “Usefulness of Agile Technique on Support Teams,” SSRG International Journal of Computer Science and Engineering, vol. 2, no. 7, pp. 5-8, 2015. CrossRef | Publisher Link
[32] Dedi Leman, “Expert System Diagnose Tuberculosis Using Bayes Theorem Method and Shafer Dempster Method,” 6th International Conference on Cyber and IT Service Management, pp. 1-4, 2018. Google Scholar | CrossRef | Publisher Link
[33] Masanori Kuroki, “Using Python and Google Colab to Teach Undergraduate Microeconomic Theory,” International Review of Economics Education, vol. 38, 2021. Google Scholar | CrossRef | Publisher Link
[34] Frank F Xu, Bogdan Vasilescu, and Graham Neubig “In-IDE Code Generation from Natural Language: Promise and Challenges,” ACM Transactions on Software Engineering and Methodology, vol. 31, no. 2, pp. 1-47, 2022. Google Scholar | CrossRef | Publisher Link
[35] Kanayo Kizito Uka et al., “Adoption of Artificial Intelligence for Diagnosis and Treatment of Staphylococcus aureus Infections Disease on Humans,” E-Health Telecommunication Systems and Networks, vol. 9, no. 1, 2020. Google Scholar | CrossRef | Publisher Link