Abstract
BackgroundThe syndrome is the basic pathological unit and the key concept in traditional Chinese medicine (TCM) and the herbal remedy is prescribed according to the syndrome a patient catches. Nevertheless, few studies are dedicated to investigate the number of syndromes and what these syndromes are. Correlative measure based on mutual information can measure arbitrary statistical dependences between discrete and continuous variables.ResultsWe presented a revised version of mutual information to discriminate positive and negative association. The entropy partition method self-organizedly discovers the effective patterns in patient data and rat data. The super-additivity of cluster by mutual information is proved and N-class association concept is introduced in our model to reduce computational complexity. Validation of the algorithm is performed by using the patient data and its diagnostic data. The partition results of patient data indicate that the algorithm achieves a high sensitivity with 96.48% and each classified pattern is of clinical significance. The partition results of rat data show the inherent relationship between vascular endothelial function related parameters and neuro-endocrine-immune (NEI) network related parameters.ConclusionTherefore, we conclude that the algorithm provides an excellent solution to patients and rats data problem in the context of traditional Chinese medicine.
Highlights
The syndrome is the basic pathological unit and the key concept in traditional Chinese medicine (TCM) and the herbal remedy is prescribed according to the syndrome a patient catches
We presented an unsupervised partition method based on association delineated by revised mutual information
The algorithm can cluster, and can make some symptoms appear in different patterns, which are consistent with TCM diagnoses
Summary
The syndrome is the basic pathological unit and the key concept in traditional Chinese medicine (TCM) and the herbal remedy is prescribed according to the syndrome a patient catches. Traditional Chinese medicine (TCM) is taken by most people in China as a complementary therapeutic alternative since herbal remedies have the advantage over western medicine in that it has less side effects and are less costly. In ancient times before modern medicine was born, people all over the world mainly benefit from three traditional medicines, among which only TCM is still alive today; while Chaldaic and ancient Hindu medicines only have extremely rare documents as evidence that they ever existed in history. The syndrome is the basic pathological unit and the key concept in TCM theory since herbal remedy is prescribed according to syndrome or syndromes a patient catches [4].
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