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Time-series dynamic three-way group decision-making model and its application in TCM efficacy evaluation

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Abstract

Clinical curative effect is the core value and fundamental pursuit of medicine. The data-driven clinical quantitative evaluation model is an important research issue in clinical efficacy evaluation. The existing clinical efficacy evaluation methods have made a lot of contributions to the structured information of static attributes, but less attention is paid to the heterogeneous information with dynamic and random characteristics. This paper discusses a class of clinical efficacy evaluation decision-making problems that contain both time-series and dynamic characteristics and uses the three-way decision principle to describe these characteristics. The group decision-making theory is introduced to aggregate the evaluation information of time series dynamic features generated in the decision-making process. A time series dynamic three-way group decision model for clinical efficacy evaluation is constructed, the optimal decision rules with minimum expected loss objective are calculated and proofed in the proposed model, and then the optimal treatment alternative is obtained. Finally, taking the decision-making problem of clinical efficacy evaluation of traditional Chinese medicine (TCM) treatment of atopic dermatitis as the research object, based on the actual clinical data of Guangdong Provincial Hospital of TCM, the decision-making process and steps of the theoretical model constructed in this paper are verified and applied. The data-driven quantitative clinical evaluation model has achieved better application effects than the actual clinical scenarios. The research results in this paper provide new ideas and theoretical methods for real-world clinical efficacy evaluation research.

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Acknowledgements

The work is partly supported by the Guangdong Basic and Applied Basic Research Foundation (2022A1515110703), the Guangdong Provincial Hospital of Chinese Medicine Science and Technology Research Project (YN2022QN33), the National Natural Science Foundation of China (72071152 and 61871141), Shaanxi National Funds for Distinguished Young Scientists (No. 2023-JC-JQ-11), the Xi'an Science and Technology Projects(2022RKYJ0030), the Youth Innovation Team of Shaanxi Universities (2019), Key-Area Research and Development Program of Guangdong Province (2020B1111100010), Guangdong Provincial Key Laboratory of Chinese Medicine for Prevention and Treatment of Refractory Chronic Diseases (2018B030322012), State Key Laboratory of Dampness Syndrome of Chinese Medicine (SZ2021ZZ39, SZ2021ZZ3004), The 2020 Guangdong Provincial Science and Technology Innovation Strategy Special Fund (Guangdong-Hong Kong-Macau Joint Lab) (2020B1212030006), The Guangzhou Key Research and Development Program (202206010101), Joint Innovation Fundation of JIICM (2022IR018).

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Authors and Affiliations

  1. State Key Laboratory of Dampness Syndrome of Chinese Medicine, The 2nd Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, 510120, China

    Xiaoli Chu, Xiumei Mo, Heng Weng & Dacan Chen

  2. School of Economics and Management, Xidian University, Xi’an, Shaanxi, 710071, China

    Bingzhen Sun

  3. Department of Dermatology, The 2nd Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China

    Xiumei Mo, Junfeng Liu, Yu Zhang & Dacan Chen

  4. Guangdong-Hong Kong-Macau Joint Lab on Chinese Medicine and Immune Disease Research, Guangzhou, 510120, China

    Xiumei Mo, Junfeng Liu & Dacan Chen

Authors
  1. Xiaoli Chu
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  2. Bingzhen Sun
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  3. Xiumei Mo
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  4. Junfeng Liu
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  5. Yu Zhang
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  6. Heng Weng
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  7. Dacan Chen
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Correspondence to Bingzhen Sun or Dacan Chen.

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Chu, X., Sun, B., Mo, X. et al. Time-series dynamic three-way group decision-making model and its application in TCM efficacy evaluation. Artif Intell Rev 56, 11095–11121 (2023). https://doi.org/10.1007/s10462-023-10445-z

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