Browse > Article
http://dx.doi.org/10.6109/jkiice.2021.25.11.1519

Oriental Medicine-based Health Pre-Diagnosis System using Fuzzy Decision Tree  

Kim, Kwang Baek (Department of Artificial Intelligence, Silla University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.11, 2021 , pp. 1519-1524 More about this Journal
Abstract
In this paper, we propose a method that uses fuzzy decision tree based health pre-diagnosis system of oriental medicine. The proposed fuzzy decision tree based health pre-diagnosis system uses the data from the past which has been pre-trained to get the boundary values based on entropy then, when the user inputs the symptoms, the top 5 diseases that causes those symptoms are extracted. With the extracted top 5 diseases, the system provides information on those diseases with the cause and how to treat them with folk remedies. The database of the diseases and their symptoms is established with the information based on the various books that the oriental doctor recommended then reviewed by the oriental doctor for confirmation. By utilizing the data from the past to train the symptoms of the diseases, the proposed oriental medicine-based health pre-diagnosis system method could provide more accurate diagnosis results faster.
Keywords
Health pre-diagnosis system of oriental medicine; Fuzzy decision tree; Entropy; Symptoms; Diseases;
Citations & Related Records
연도 인용수 순위
  • Reference
1 H. Xu and K. J. Chen, "Integrating traditional medicine with biomedicine towards a patient-centered healthcare system," Chinese Journal of Integrative Medicine, vol. 17, no. 2, pp. 83-84, Feb. 2011.   DOI
2 K. B. Kim, "Developing an Intelligent Health Pre-diagnosis System for Korean Traditional Medicine Public User," Journal of Information and Communication Convergence Engineering, vol.15, no. 2, pp. 85-90, Jun. 2017.   DOI
3 Y. S. Kim, Dong-eui-bo-gam, Solbit Publications, 2003.
4 L. Jingjing, "Application of Intelligent Fuzzy Decision Tree Algorithm in English Teaching Model Improvement," Complexity, vol. 2021, Aug. 2021. doi: 10.1155/2021/8631019.   DOI
5 K. B. Kim and J. W. Kim. "Self health diagnosis system with Korean traditional medicine using fuzzy ART and fuzzy inference rules," Intelligent Information and Database Systems, LNCS 7198, pp. 326-335, Mar. 2012.
6 Z. Gu1 and C. He, "Application of Fuzzy Decision Tree Algorithm Based on Mobile Computing in Sports Fitness Member Management," Wireless Communications and Mobile Computing, vol. 2021, pp. 1-10, Jul. 2021.
7 S. J. Lee, Dong-eui-bo-gam by Symptoms, Obi Enterprise, 2004.
8 P. Nancy, S. Muthurajkumar, S. Ganapathy, S. V. N. Santhosh Kumar, M. Selvi, and K. Arputharaj, "Intrusion detection using dynamic feature selection and fuzzy temporal decision tree classification for wireless sensor networks," IET Communications, vol. 14, no. 5, pp. 888-895, Mar. 2020.   DOI