International Journal of Internet, Broadcasting and Communication

The Institute of Internet, Broadcasting and Communication (한국인터넷방송통신학회)
권호 표지
DOI QR코드

DOI QR Code

Human Normalization Approach based on Disease Comparative Prediction Model between Covid-19 and Influenza

  • Janghwan Kim (Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik University) ;
  • Min-Yong Jung (Dept. of Software and Communication Engineering, Hongik University) ;
  • Da-Yun Lee (Dept. of Software and Communication Engineering, Hongik University) ;
  • Na-Hyeon Cho (Dept. of Software and Communication Engineering, Hongik University) ;
  • Jo-A Jin (Dept. of Software and Communication Engineering, Hongik University) ;
  • R. Young-Chul Kim (Software Engineering Laboratory, Dept. of Software and Communication Engineering, Hongik University)
  • Received : 2023.05.11
  • Accepted : 2023.05.18
  • Published : 2023.08.31
Download PDF
⟨ Previous Next ⟩

Abstract

There are serious problems worldwide, such as a pandemic due to an unprecedented infection caused by COVID-19. On previous approaches, they invented medical vaccines and preemptive testing tools for medical engineering. However, it is difficult to access poor medical systems and medical institutions due to disparities between countries and regions. In advanced nations, the damage was even greater due to high medical and examination costs because they did not go to the hospital. Therefore, from a software engineering-based perspective, we propose a learning model for determining coronavirus infection through symptom data-based software prediction models and tools. After a comparative analysis of various models (decision tree, Naive Bayes, KNN, multi-perceptron neural network), we decide to choose an appropriate decision tree model. Due to a lack of data, additional survey data and overseas symptom data are applied and built into the judgment model. To protect from thiswe also adapt human normalization approach with traditional Korean medicin approach. We expect to be possible to determine coronavirus, flu, allergy, and cold without medical examination and diagnosis tools through data collection and analysis by applying decision trees.

Keywords

Acknowledgement

This research was supported by Korea Creative Content Agency(KOCCA) grant funded by the Ministry of Culture, Sports and Tourism(MCST) in 2023(Project Name: Development of AI-based user interactive multimodal interactive storytelling 3D scene authoring technology, Project Number: RS-2023-00227917, Contribution Rate: 50%) and Basic Science Research Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Education in 2023(Project Name: The Faultless Codinglization through Automatic Refactoring based on NLP BERT Model, Project Number: 2021R1I1A3050407, Contribution Rate: 50%)

References

  1. Global COVID-19 Tracker, https://www.kff.org/coronavirus-covid-19/issue-brief/global-covid-19-tracker/
  2. T. G. Yu, H. J. Lee, "A Study on the Establishment of a New Quarantine System in the COVID-19 Era." International Journal of Internet, Broadcasting and Communication, 15(1), pp275-280. (2023) DOI: https://doi.org/10.7236/IJIBC.2023.15.1.275
  3. B. Hu, H. Guo, P. Zhou et al. Characteristics of SARS-CoV-2 and COVID-19. Nat Rev Microbiol 19, pp141-154 (2021). DOI: https://doi.org/10.1038/s41579-020-00459-7
  4. Coronavirus disease (COVID-19): Similarities and differences between COVID-19 and Influenza https://www.who.int/news-room/questions-and-answers/item/coronavirus-disease-covid-19-similarities-and-differences-with-influenza
  5. S. Yoo, Y. Kim, J. Kim, R. Kim, "Comparative Prediction Prototype Model of COVID19 and Pandemic Influenza", Proceedings of KCS 2020, Korean Information Science Society, pp. 1295-1297, (2020)
  6. M. Jin, S. Yeom, "DDoS-based Analysis of Decision Tree Considering Number of Traffic Attributes" Journal of Information and Communications Society of Korea, Vol.25, (2021)
  7. S. Yeom, S. Park, K. Shin, "Analysis of DDoS Attacks Based on Decision Tree Considering Importance", Proceedings of the 2021 Spring Conference of the Korea Information and Communications Society
  8. H. Jeong, H. Kim, S. Park, et al., "Prediction of rental car traffic accident severity using Naive Bayes big data classifier", Journal of the Korea ITS Society, Vol.16 No.4, (2017)
  9. Y. Shuai, Y. Zheng and H. Huang, "Hybrid Software Obsolescence Evaluation Model Based on PCA-SVM-GridSearchCV", Proc. IEEE Int. Conf. Softw. Eng. Serv. Sci. ICSESS vol. 2018-Novem, pp. 449-453, 2019.
  10. E. Choi, N. Park, "Development and Application of Machine Learning Training Program Based on K-NN Algorithm Understanding", Journal of The Korean Association of Information Education Vol. 25, no. 1, (2021)
  11. M. Kim. "Lane Color and Shape Recognition Using Multilayer Perceptron and Partial Projection." Domestic master's thesis Pusan National University Graduate School, 2014. Busan
  12. M. Oh. "The Relationship between the Quality of Educational Services and Repurchase Intention of Sujichim and Seogeum Therapy." Master's thesis, 2017.
  13. S. Ahn, "Another understanding of the electrical characteristics of acupuncture points and meridians," Korean Journal of Acupuncture 25 no.2, pp. 33-41, (2008)
  14. Y. Jin, et al. "The Classification Model of Human Characteristics based on Human Bioelectric Patterns." The IIBC 2022 O2O Integrated Conference, Nov. 17, (2022)
  15. Covid19 Prediction Using Symptoms, https://github.com/GuduruAishwarya/Covid19_Prediction_Using_Symptoms