Abstract
One fundamental concept in Traditional Chinese Medicine (TCM) is to consider the human body as a whole, inside which the functions of various body organs are inseparable in terms of mutual coordination as well as the physiological and pathological influences among one another. It is believed in TCM that the human body is also integrated with the living environment through causal relationships. Similar to the basic rationale of TCM, Fuzzy Cognitive Mapping (FCM) is a technique that considers knowledge as a whole. It attempts to simulate normal human reasoning and human decision-making processes. It is thus natural to apply FCM to represent knowledge and experience in TCM treatments. In this paper, we propose to use an FCM-based approach to support decision making for TCM. The approach is evaluated through a case study based on the TCM treatment of common cold. It is clearly shown that the FCM-based approach can provide improvements in the efficiency and precision of decision making for TCM doctors.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Papageorgiou, E.I., et al.: Brain tumor characterization using soft computing technique of fuzzy cognitive maps. Appl. Soft Comput. 8, 820–828 (2008)
Subramanian, J., Karmegam, A., Papageorgiou, E., Papandrianos, N., Vasukie, A.: An integrated breast cancer risk assessment and management model based on fuzzy cognitive maps. Comput. Methods Prog. Biomed. 118, 280–297 (2015)
Miao, Y.: Visualising fuzzy cognitive maps. In: WCCI 2012 IEEE World Congress on Computational Intelligence (2012)
Papageorgiou, E.I.: A new methodology for decisions in medical informatics using fuzzy cognitive maps based on fuzzy rule-extraction techniques. Appl. Soft Comput. 11(1), 500–513 (2011)
Shen-nong TCM Basic Principles, Qi (Vital Energy) from a TCM Prospective. http://www.shen-nong.com/eng/principles/qi.html
Trendowski, M.: The promise of sonodynamic therapy: using ultrasound irradiation and chemotherapeutic agents as a treatment modality. Honors Capstone Project in Biolo, Renee Crown University Honors Program at Syracuse University (2014)
The Dove Clinic for Integrated Medicine Twyford & London Masters: PDT: PDT/SDT Study - 116 Patients (2009)
Miao, Y.: Fuzzy cognitive map for domain experts with no artificial intelligence expertise. In: Proceedings ICARCV, pp. 486–492 (2014)
Miao, Y.: Modelling dynamic causal relationship in fuzzy cognitive maps. In: Proceedings of International Conference on Fuzzy Systems, pp. 1013–1020 (2014)
Kosko, B.: Hidden patterns in combined and adaptive knowledge networks. Int. J. Approx. Reason. 2(2), 377–393 (1998)
Bourgani, E., Stylios, C.D., Georgopoulos, V.C., Manis, G.: A study on the symptoms of breast cancer using fuzzy cognitive maps. In: 8th Conference of the European Society for Fuzzy Logic and Technology (2013)
Froelich, W., Papageorgiou, E.I., Samarinas, M., Skriapas, K.: Application of evolutionary fuzzy cognitive maps to the long-term prediction of prostate cancer. Appl. Soft Comput. 12, 3810–3817 (2012)
Bourgani, E.A., Stylios, C.D., Georgopoulos, V.C., Manis, G.: A study on fuzzy cognitive map structures for medical decision support systems. In: 8th Conference of the European Society for Fuzzy Logic and Technology (2013)
Douali, N., Papageorgiou, E.I., De Roo, J., Cools, H., Jaulent, M.-C.: Clinical decision support system based on fuzzy cognitive maps. J. Comput. Sci. Syst. Biol. 8, 112–120 (2015)
Jee, C.-C., Chiang, J.Y.: Automatic feature extraction and fuzzy analysis of sublingual veins. Taiwan Zhong Shan University (1999). http://hdl.handle.net/11296/5w2u4p
Wang, Z.-K.: To view the cognitive map in natural aspect - model reasoning and its methodological implications in TCM diagnosis (Chinese version). http://blog.sina.com.cn/s/blog_a6eb92f00102vz7k.html
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this paper
Cite this paper
Lee, D., Liu, H., Rong, J., Xu, H., Miao, Y. (2018). Decision Making for Traditional Chinese Medicine Based on Fuzzy Cognitive Map. In: Siuly, S., Lee, I., Huang, Z., Zhou, R., Wang, H., Xiang, W. (eds) Health Information Science. HIS 2018. Lecture Notes in Computer Science(), vol 11148. Springer, Cham. https://doi.org/10.1007/978-3-030-01078-2_3
Download citation
DOI: https://doi.org/10.1007/978-3-030-01078-2_3
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-01077-5
Online ISBN: 978-3-030-01078-2
eBook Packages: Computer ScienceComputer Science (R0)