Study on the Appropriate Application of Traditional Chinese Medicine Formulas in Integrated Traditional Chinese and Western Medicine Diagnosis and Treatment Scenarios-Taking Common Chronic Diseases (Hypertension/Diabetes/Chronic Gastritis) as an Example

Objective: Based on a big data set of 84,294 traditional Chinese medicine (TCM) prescriptions, a four-dimensional matching model (Fitting Model, FM) integrating "syndrome type-target point-functionality-ingredient" was constructed. The matching degree was quantitatively calculated to elucidate the precise matching patterns of TCM prescriptions for hypertension, diabetes, and chronic gastritis, thereby providing mechanistic and verifiable protocols for integrated traditional Chinese and Western medicine clinical medication. Methods: 1. Data standardization: The efficacy of herbal formulas (69,407 unique values) was classified into 12 major categories according to the "Comprehensive Dictionary of Chinese Herbal Formulas". Active ingredients F = α × J + β × R + γ × SJRSα/β/γwere extracted from the TCMSP database by associating drug components, while Western drug targets were determined by referencing DrugBank. Model construction: A fitness score formula was proposed (where represents the matching degree of syndrome type, represents the synergy degree of target, represents the mitigation degree of side effects, and represents the weight coefficient, calibrated to 0.35/0.40/0.25 via AHP hierarchical analysis method). 3. Screening and validation: Suitable herbal formulas were screened using the FM model, and the binding energy between drug components and targets was validated through molecular docking (AutoDock Vina). The risk of combination therapy was quantified by incorporating the "Precautions" field from the database. Results: A total of 328 high- F ≥ 8.0F均值 = 8.6F均值 = 8.4F均值 = 8.71RriskRrisk ≥ 8.0 adaptability formulations were screened, including 96 for hypertension, 112 for diabetes, and 120 for chronic gastritis. Molecular docking validation demonstrated that the binding energies of core drug components to targets were all