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2944. Integrating Multi-Criteria Decision-Making (MCDM) in Traditional Chinese Medicine (TCM) Diagnosis: A Case Study on Post COVID-19 Syndromes
Invited abstract in session WC-47: MCDA in medicine, stream Multiple Criteria Decision Analysis.
Wednesday, 12:30-14:00Room: 50 (building: 324)
Authors (first author is the speaker)
| 1. | Mei-Chen Lo
|
| National Yang Ming Chiao Tung University & National United University | |
| 2. | Fang-Pey Chen
|
| National Yang Ming Chiao Tung University | |
| 3. | Yen-Ying Kung
|
| National Yang Ming Chiao Tung University |
Abstract
This research delves into the synergistic application of Multi-Criteria Decision-Making (MCDM) methodologies in Traditional Chinese Medicine (TCM) diagnosis, with a specific focus on Post COVID-19 Syndrome. The global aftermath of the pandemic has heightened the demand for nuanced diagnostic approaches, and this study aims to bridge the gap between traditional diagnostic principles and modern decision-making tools. Through a detailed exploration of MCDM techniques such as Analytical Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), the research integrates these methodologies into the TCM diagnostic framework. The case study on Post COVID-19 Syndrome serves as a practical application, examining how MCDM enhances diagnostic precision and effectiveness. The findings not only contribute to the evolution of TCM practices but also hold implications for a more integrated and responsive healthcare approach in the post-pandemic era.
Keywords
- Decision Analysis
Status: accepted
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