Exploring Association Rules of Traditional Chinese Medicine ‘Syndrome-symptom-formula-herb’ in Chronic Glomerulonephritis by a Novel Text Mining Approach
ZHAN Jun-ping1, ZHENG Guang2, JIANG Miao2, et al. Exploring Association Rules of Traditional Chinese Medicine ‘Syndrome-symptom-formula-herb’ in Chronic Glomerulonephritis by a Novel Text Mining Approach[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(3): 315-320.
ZHAN Jun-ping1, ZHENG Guang2, JIANG Miao2, et al. Exploring Association Rules of Traditional Chinese Medicine ‘Syndrome-symptom-formula-herb’ in Chronic Glomerulonephritis by a Novel Text Mining Approach[J]. Chinese journal of experimental traditional medical formulae, 2013, 19(3): 315-320. DOI: 10.13422/j.cnki.syfjx.2013.03.014.
Objective:To explore the rules of Chinese herbal medicine under the framework of syndrome in traditional Chinese medicine(TCM).Method: The data on chronic glomerulonephritis were collected from Chinese BioMedical literature database.Then
the rules of TCM syndrome
symptoms
and Chinese herbal medicines were mined out.The results were showed in frequency explanation and 2-dimention networks.Result: For TCM pattern
chronic glomerulonephritis is mainly focused on root deficiency and branch excess.For TCM internal organs
kidney
lung
and spleen are involved.For syndromes
deficiency of both Qi and Yin is the most significant
edema
fever
lack of power and lumbago as associated symptoms.For Chinese herbal medicines
supplementing Qi and nourishing Yin is the typical applications.Conclusion: Text mining
together with artificial reading for anti-noising
is an important approach in exploring the rules of TCM syndrome
symptom
and their association with Chinese herbal medicines.