Daniel Lee 1,2 , Hong Xu 2 , Huai Liu 3 , Yuan Miao 2 Show Affiliations »
Abstract
PURPOSE: Traditional Chinese medicine (TCM) has recently attracted increasing interests in cancer treatment. It was found that TCM-based treatment, combined with other therapies, can help improve patients' life quality. However, the existing research in TCM lacks a systematic modelling for the causal relationship of the factors related to the diagnosis and decision making. METHODS: In this paper, we proposed the use of fuzzy cognitive map (FCM) to represent the cognition of TCMs usage in cancer treatment. RESULTS: Through a case analysis, we analyse and summarise the effects of Chinese herbal medicine in breast cancer management. CONCLUSION: FCMs can visually represent the cognitive knowledge, particularly the causal relationship among key factors of TCM effects and the related breast cancer status. © Springer Nature Switzerland AG 2019.
PURPOSE: Traditional Chinese medicine (TCM) has recently attracted increasing interests in cancer treatment. It was found that TCM-based treatment, combined with other therapies, can help improve patients' life quality. However, the existing research in TCM lacks a systematic modelling for the causal relationship of the factors related to the diagnosis and decision making. METHODS: In this paper, we proposed the use of fuzzy cognitive map (FCM) to represent the cognition of TCMs usage in cancer treatment. RESULTS: Through a case analysis, we analyse and summarise the effects of Chinese herbal medicine in breast cancer management. CONCLUSION: FCMs can visually represent the cognitive knowledge, particularly the causal relationship among key factors of TCM effects and the related breast cancer status. © Springer Nature Switzerland AG 2019.
Entities: Chemical
Keywords:
Cancer treatment; Fuzzy cognitive map; Traditional Chinese medicine
Year: 2019
PMID： 31656593 PMCID： PMC6775180 DOI： 10.1007/s13755-019-0083-3
Source DB: PubMed Journal: Health Inf Sci Syst ISSN： 2047-2501