| Project Title: | Evaluation of The clinical Diagnosis of Chinese Medicine using pattern recognition and comprehensive risk assessment in Diabetes and Metabolic syndrome
中醫辨證及綜合風險評估對糖尿病和代謝綜合症的診斷評估 |
| Principal Investigator: | Professor Juliana CHAN |
| Organization: | Department of Medicine and Therapeutics, Chinese University of Hong Kong |
| Start Year: | 2010 - 2011 |
| Status: | Completed
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| Type of Study: | Research
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| Summary: | This study aimed to validate the CM diagnosis for obesity and its sub-phenotypes. The diagnosis of risk factors and complications associated with diabetes and obesity made by Western Medicine (WM), Chinese medicine (CM), and medical biometrics (MB) were correlated.
468 community-living Chinese subjects enrolled in the study and 299 were assessed and interviewed by CM practitioners. Poor inter-individual correlations were observed for a large number of fields and variable used by CMP to define disease symptoms. It was also found that there were little correlations between CM and WM diagnosis.
The conclusion in the study suggested that since some symptoms of CM clustered to form latent variables, correlations between latent factors of CM and MB to identify CM variable subsets for further correlation with WM could be explored.
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Reference:
| Wang, D., Zhang, D., & Chan, J. C. N. (2014). Feature Extraction of Radial Arterial Pulse. Proceedings of the 2014 International Conference on Medical Biometrics, Shenzhen, IEEE Conference Publications, 41 - 46. doi: 10.1109/ICMB.2014.15
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Keywords:
| Arterial pulse features; Diabetes; Feature extraction; Traditional Chinese Medicine diagnosis; Human
動脈脈波特徵; 糖尿病; 特徵抽取; 中醫診斷; 人類
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