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Close×Computational and Structural Biotechnology Journal (Jan 2025)
- Quan Gan,
- Qi-Wei Ge,
- Chuanxia Liu,
- Zhaoman Zhong,
- Jiaying Wu,
- Lei Shi,
- Jin Xu,
- Chen Li
Affiliations
- Quan Gan
- School of Computer Engineering, Jiangsu Ocean University, Lianyungang, China
- Qi-Wei Ge
- The Graduate School of East Asian Studies, Yamaguchi University, Yamaguchi-shi, Japan
- Chuanxia Liu
- School of Foreign Languages, Jiangsu Ocean University, Lianyungang, China
- Zhaoman Zhong
- School of Computer Engineering, Jiangsu Ocean University, Lianyungang, China
- Jiaying Wu
- School of Computer Engineering, Jiangsu Ocean University, Lianyungang, China
- Lei Shi
- School of Computer Engineering, Jiangsu Ocean University, Lianyungang, China
- Jin Xu
- School of Computer Engineering, Jiangsu Ocean University, Lianyungang, China
- Chen Li
- Department of Human Genetics, and Women’s Hospital, Zhejiang University School of Medicine & Zhejiang Provincial Key Laboratory of Genetic and Developmental Disorders, Hangzhou 310006, China; Corresponding author.
- Journal volume & issue
- Vol. 27
pp. 2434 – 2442
Abstract
A key obstacle in advancing acupuncture and moxibustion treatment (AMT) lies in the absence of effective methodologies capable of modeling the body’s dynamic physiological changes and predicting treatment outcomes with quantitative precision. Colored Petri nets (CPNs), which have shown significant utility in simulating complex biological systems, offer a promising foundation for modeling AMT due to their capacity to represent hierarchical structures and dynamic behaviors. However, current modeling approaches struggle to address the inherent concurrency and complexity characteristic of AMT processes. To address this, we propose a novel token-guided transition control based on CPNs theory, enabling precise and efficient simulation of AMT systems. Furthermore, we develop a multicriteria evaluation method to quantitatively assess and compare the therapeutic efficacy of various AMT protocols, providing a structured approach for evidence-based decision-making. We validate our proposed model through simulation studies based on clinical cases of Meniere’s disease. The simulation results closely align with actual clinical data, supporting the model’s reliability and applicability. Finally, randomized simulation experiments have led to the identification of three new AMT strategies with promising therapeutic potential, highlighting the model’s capacity to support treatment optimization and clinical innovation. This study introduces a comprehensive framework for dynamic modeling, visual representation, and quantitative evaluation of AMT systems. By offering a systematic and predictive approach to AMT analysis, the proposed method not only enhances understanding of treatment mechanisms but also contributes to the standardization of clinical practice.
Keywords
- Acupuncture and moxibustion treatment
- Petri nets
- Modeling
- Simulation
- Evaluation method
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