Paper
23 May 2023 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
Chengdan Pan, Ai-Min Gong, Fang-Zhi Wei, Xuan Zhang, Yitian Song
Author Affiliations +
Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126040P (2023) https://doi.org/10.1117/12.2674642
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China
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 paralysis evidence group) and 130 healthy individuals, extract the image parameters of pulse diagnosis, and analyze the characteristics of pulse diagnosis parameters of SLE patients and their influencing factors of pulse diagnosis parameters of different TCM evidence types by logistic regression model. Results: ① compared with the healthy group, the pulse parameters h1 value, h4 value, and t1/t value were significantly higher in the SLE group (P<0.05) and the pulse parameter t value was significantly lower in the SLE group (P<0.05); logistic regression analysis showed that the independent influencing factors in SLE patients included: h4 value (OR=1.073; 95% CI=1.003-1.148 ;P<0.05), t-value (OR=0.003;95% CI=0.000-0.763;P<0.05) and t1/t-value (OR=0.000;95% CI=0.000- 1.199;P<0.05). ② Compared with the group with incandescent heat toxin evidence, the h4 value, h5 value, t4 value, t5 value, t5/t4 value were significantly lower in the group with Yin deficiency internal heat evidence (P<0.05), the h4/h1 value and t1/t4 value were significantly higher in the group with Yin deficiency internal heat evidence (P<0.05), the h4 value, h5 value, t5 value, h4/h1 value were significantly lower in the group with rheumatic heat paralysis evidence (P<0.05), and the t4 value, h5/h1 value, t5/t1 value were significantly lower in the group with rheumatic heat paralysis evidence (P<0.05). , h5/h1 values, and t1/t4 values were significantly higher in the rheumatism-heat paralysis group (P<0.05); logistic regression analysis. The results showed that the independent influencing factors of TCM evidence in SLE patients included: h3 values in the yin deficiency internal heat evidence group (OR=2.295; 95% CI=1.843-2.858; P<0.05) and h3 values in the rheumatic heat paralysis evidence group (OR=2.309; 95% CI=1.87-2.85; P<0.05). Conclusion: conclusion pulse diagnosis parameters h4 value, t value and t1/t value are one of the influencing factors for the diagnosis of SLE patients, and pulse diagnosis parameter h3 value is one of the influencing factors for the diagnosis of SLE Chinese medical evidence.
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Chengdan Pan, Ai-Min Gong, Fang-Zhi Wei, Xuan Zhang, and Yitian Song "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", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126040P (23 May 2023); https://doi.org/10.1117/12.2674642
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KEYWORDS
Medicine

Diagnostics

Intelligence systems

Reflection

Diseases and disorders

Analytical research

Statistical analysis

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