Abstract
Establishment of collection system for collecting data derived from four diagnostic techniques is the precondition on TCM syndrome standardization of Hyperlipidemia. A collection system is implemented, which is consisted of tougue images acquisition, facial image acquisition, inquiry diagnosis, pulse diagnosis, and auscultation diagnosis information. Through this platform, 316 cases of hyperlipidemia clinical information have been gathered. Hyperlipidemia syndrome classification standardizing research is the hotspot in Chinese Medicine Domain. An intelligent classification algorithm is realized to analyze these 316 cases of hyperlipemia clinical symptoms data, get statistically significant classification results, and find the corresponding relationship between these results and syndromes. Compare disease characteristics of samples in every category with syndromes category and find out the relationships between them, by which the hyperlipidemia syndrome differentiation standardization will be founded.
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© 2011 Springer-Verlag Berlin Heidelberg
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Tu, Y., Chen, G., Piao, S., Guo, J. (2011). Collection System Implementation for Four TCM Diagnostic Methods Information of Hyperlipemia and Research on Intelligent Symptom Classification Algorithm. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_91
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DOI: https://doi.org/10.1007/978-3-642-23777-5_91
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23776-8
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