Résumé
Objective: To explore the prescription rules in treating liver cirrhosis's based on poison phlegm blood stasis and deficiency. Method: Clinical data of patients, who had been diagnosed with liver cirrhosis, was gathered. The data had been extracted, transformed and loaded through data integration and remittance, then, the data was analyzed by data classification, association, clustering and other large data analysis methods. Results: The prescription rules based on poison phlegm blood stasis and deficiency showed that according to medication frequency, detoxification drugs commonly used ArtemisiacapillarisThunb, Coptis chinensis Franch, Forsythia suspensa, Hedyotis diffusa Willd, and Scutellaria baicalensis Georgi, eliminating phlegm drugs commonly used Semen Coicis, Citrus aurantium L, Pinellia ternate, Pericarpium Citri Reticulatae and Trichosanthes kirilowii Maxim, removeing blood stasis drugs commonly used Radix Salviae Miltiorrhiae, Radix Curcumae, Rhizoma Curcumae, Herba Lycopi and Pollen Typhae, reinforcing deficiency drugs commonly used Poria, Carapax Trionycis, Rhizoma Atractylodis Macrocephalae, Radix Astragali seu Hedysari and Radix Codonopsis (Radix Pseudostellariae) . The selection of herbal medicine for poison in traditional Chinese medicine (TCM) is not only cold in property, bitter in flavor, but also converges to liver, gallbladder, spleen and stomach channel.The selection of herbal medicine for phlegm in TCM is not only warm in property, pungent in flavor, but also converges to spleen and lung channel. The selection of herbal medicine for blood stasis in TCM is not only cold in property, bitter in flavor, but also converges to liver, heart and spleen channel. The selection of herbal medicine for deficiency in TCM is not only mild in property, sweet in flavor, but also converges to spleen, liver and kidney channel. Conclusion: The syndrome differentiation and treatment of liver cirrhosis in Liver Institute of Hubei Provincial Hospital of Traditional Chinese are mainly based on poison phlegm blood stasis and deficiency.
Résumé
This study was aimed to explore the correlation between traditional Chinese medicine (TCM) patterns of hepatopathy and the objective inspection indicators so as to provide objective evidences for the syndrome differentiation and treatment of hepatopathy.General information of hepatopathy inpatients from January 2015 to June 2016 was collected.In order to distinguish the most effective factors and establish the discriminant function,the data in 2015 was selected as training samples with stepwise discriminatory analysis;and the data of the first half of 2016 was used as testing samples.A discriminant function was established by stepwise discriminant analysis,which including 13 inspection indicators out of 127 indicators.Stepwise discriminant analysis was also employed to predict TCM syndrome patterns of the samples.The recognition accuracy of the training sample set 224 samples in 2015 was 84.38％ and that of the test sample set 109 samples in 2016 was 74.31％.It was concluded that the stepwise discriminant analysis had a relatively high discriminant accuracy rate.It can provide references in the clinical diagnosis.
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This study was aimed to explore the treatment regularity of chronic hepatitis B virus by the famous traditional Chinese medicine (TCM) Professor Wu Shoushan in Hubei province on the basis of the Clinical Research Information Integration of TCM.Clinical data were collected from 767 outpatients with chronic hepatitis B virus and analyzed by classification,association and clustering,according to data integration,remittance and integration.The results showed that from herbs used in 259 prescriptions,the top 5 frequently used herbs were poria,capillaris,dried tangerine peel,salvia and forsythia.In the aspect of herbal combination,the herbal pairs with the highest associations were porialicorice-atractylodes,poria-salvia-atractylodes,capillaries-poria-licorice,and etc.In the data mining of core prescription,the modified classic prescriptions with the highest frequency were the Hao-Qin Qing-Dan decoction,DaAn pill,and Ban-Xia Bai-Zhu Tian-Ma decoction.It was concluded that through the data mining method,we found that the TCM syndrome differentiation rules and methods of Professor Wu Shoushan in the treatment of chronic hepatitis B were mainly from toxin,phlegm,stasis and deficiency.
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This study was aimed to analyze the compatibility principles of herbs for the treatment of jaundice with the method of association rule,and to provide reference for tradition Chinese medicine (TCM) diagnosis and treatment of jaundice.A total of 3404 prescription data of inpatient medical records for the diagnosis of jaundice from 1960 to 1978 were recorded and processed.Then,herbs with high frequency were identified and analyzed the compatibility principles of herbs by Apriori algorithm.The results showed that from 3 404 prescriptions,there were 327 kinds of different herbs,with the average of 10 to 12 herbs in one prescription.From the herb frequency results,we found that the frequency of the top 50 herbs benefits of dieresis and dampness-removing medicine,heat-clearing medicine,deficiency-reinforcing medicine,qi-regulating medicine,blood stasis removing medicine,food stagnation removing medicine,dampnessremoving medicine,purgative medicine,phlegm-removing medicine,and etc.In addition,we identified 27 drug pairs (the associations of 2 herbs) and 24 angle drug pairs (the associations of 3 herbs).It was concluded that the application of association rules to analyze the law of jaundice medication which reflected the treatment experience of jaundice in this period.It can provide a new idea for the further research.It can also provide a way of thinking for our further study.
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This study was aimed to use machine learning techniques for the prescription regularity of traditional Chinese medicine (TCM) in the treatment of liver diseases in order to provide a reference basis for clinical treatment as well as research and development of new drugs.According to the prescription data of liver disease treatment of the last two years in the hepatology department of a triple-A TCM hospital,the related structure between drugs was firstly found by the complex structure of drugs.And then,association rule,cluster analysis and other unsupervised machine learning methods were used.The prescription regularity of TCM in the treatment of cirrhosis was received through the comparison and analysis.The results showed that there were 589 prescriptions with 257 types of Chinese medicine herbs.The high frequency drug combination included 2 items of 12,3 items of 15,4 items of 14;support ＞ 10％,confidence ＞ 90％ of the association rule include "dried tangerine peel,medicated leaven → largehead atractylodes rhizome," "polyporus umbellatus,dried tangerine peel → largehead atractylodes rhizome" and other 34;through cluster analysis,it showed that Chinese medicine was mainly classified by 5 characteristics.The machine learning result was the same as the constructed complex network.It was concluded that the combination of complex network and machine learning methods in the exploration of prescription regularity of TCM in the treatment of cirrhosis were feasible.It provided clinical treatment of cirrhosis and clues for finding new prescription in the treatment of cirrhosis.
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In order to better construct important diseases of traditional Chinese medicine ( TCM ) clinical re-search base , and strengthen the construction of medical and clinical research of TCM information sharing sys-tem, Hubei Provincial Hospital of Traditional Chinese Medicine has constructed research type clinic. The con-struction idea of research type clinic is the mode of real world TCM clinical research . The construction of research type clinic mode was from three aspects, which were the clinical research, health management and distinctive diagnosis and treatment .
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Objective Establishing community nursing intervention to improve treatment compliance of senior patients taking and quit bad lifestyle so as to enhance quality of life. Methods We selected 180 senior patients who received the questionnaires concerning treatment compliance and the assessment of nursing satisfaction before and after our nursing intervention. Treatment compliance and the assessment of nursing satisfaction were compared. Results After the implementation of community nursing intervention, the senior patients could take medicines punctually and check up regularly. They could also know to control their emotion, take healthy diet, quit cigarette and alcohol and take adequate exercise according to our instruction. Meanwhile, the patients had higher level nursing satisfaction after the intervention. The comparison had statistical significance (P<0.01 or P<0.05). Conclusion Community nursing intervention could change and improve treatment compliance of senior patients actively. As a result, both the patients' quality of life and our nursing satisfaction were improved.