Artificial intelligence-based traditional Chinese medicine assistive diagnostic system: analysis of pulse parameters in patients with systemic lupus erythematosus and the factors influencing their Chinese medical evidence patterns
Abstract:Objective: To analyze the characteristics of pulse pattern parameters of systemic lupus erythematosus (SLE) patients and the factors influencing their TCM patterns, and to provide an objective basis for their TCM pulse diagnosis and diagnosis. Methods: The SmartTCM-A1 TCM intelligent detection system was used to collect pulse diagnosis image information from 267 SLE patients (140 in the Yin deficiency internal heat evidence group, 96 in the heat toxin incandescence evidence group, and 31 in the rheumatic heat … Show more
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