In this study, Professor Yan Zhenghua's recipes for treating heart diseases were collected to determine the frequency and association rules among drugs by such data mining methods as apriori algorithm and complex system entropy cluster and summarize Pro- fessor Yan Zhenghua's medication experience in treating heart diseases. The results indicated that frequently used drugs included Salviae Miltiorrhizae Radix et Rhizoma, Parched Ziziphi Spinosae Semen, Polygoni Multiflori Caulis, Ostreae Concha, Poria; frequently used drug combinations included "Ostreae Concha, Draconis Os", "Polygoni Multiflori Caulis, Parched Ziziphi Spinosae Semen" , and "Salviae Miltiorrhizae Radix et Rhizoma, Parched Ziziphi Spinosae Semen". The drug combinations with the confidence of 1 included "Dalbergiae Odoriferae Lignum-->Salviae Miltiorrhizae Radix et Rhizoma", "Allii Macrostemonis Bulbus-->Parched Ziziphi Spinosae Semen", "Draconis Os-->Ostreae Concha", and "Salviae Miltiorrhizac Radix et Rhizoma, Draconis Os-->Ostreae Concha". The core drug combinations included" Chrysanthemi Flos-Gastrodiae Rhizoma-Tribuli Fructus", "Dipsaci Radix-Taxillus sutchuenensis-Achyranthis Bidentatae Radix", and "Margaritifera Concha-Polygoni Multiflori Caulis-Platycladi Semen-Draconis Os".
Drug Interactions ; Drug Therapy, Combination ; Drugs, Chinese Herbal ; chemistry ; history ; therapeutic use ; Entropy ; Heart Diseases ; drug therapy ; history ; History, 20th Century ; History, 21st Century ; Humans

In this study, prescriptions were collected to establish a database based on the traditional Chinese medicine inheritance support system (TCMISS). Such data-mining methods as software's statistical statement module, data analysis module and apriori algorithm were used to analyze the frequency of single drug, the frequency of drug combination, the association rules and the core drug combinations of ostreae concha-containing prescriptions. The results showed that Ostreae Concha-containing prescriptions were frequently used to treat insomnia, vertigo, stomach-ache and other syndromes. The frequently used drugs included Ossis Mastodi Fossilia, Parched Ziziphi Spinosae Semen, Polygoni Multiflori Caulis, Salviae Miltiorrhizae Radix and Paeoniae Rubra Radix. The frequently used drug combinations included "Ostreae Concha and Ossis Mastodi Fossilia", "Ostreae Concha and Parched Ziziphi Spinosae Semen", and "Ostreae Concha and Polygoni Multiflori Caulis". The drug association rules with the confidence coefficient of more than 0. 95 included "Ossis Mastodi Fossilia-->Ostreae Concha", "Cocos Poria-Ossis Mastodi Fossilia-Ostreae Concha", "Ossis Mastodi Fossilia-Parched Ziziphi Spinosae Semen-->Ostreae Concha", and "Salviae Miltiorrhizae Radix-Ossis Mastodi Fossilia--Ostreae Concha".
Animals ; Chemistry, Pharmaceutical ; Data Mining ; Databases, Pharmaceutical ; Drug Prescriptions ; Humans ; Medicine, Chinese Traditional ; methods ; Ostrea ; chemistry ; Physicians ; Software

Analyzed the prescriptions for phlegm retention syndrome that built by Ma Peizhi by the association rules and clustering algorithm, the frequency of drug usage and the relationship between drugs could be get. And from that we could conclude the experiences for phlegm retention syndrome of Ma Peizhi of menghe medical genre. The results of the analysis were that 18 core combinations were dig out, such as Citri Exocarpium Rubrum-Eriobotryae Folium-Citri Reticulatae Pericarpium. And there were 9 new prescriptions were found out such as Aurantii Fructus-Citri Exocarpium Rubium-Eriobotryae Folium-Citri Reticulatae Pericarpium. The results of the analysis were proved that Ma Peizhi of Menghe Medical Genre was good at curing phlegm retention syndrome by using the traditional Chinese medicine of mild and light, such as the medicines of mild tonification, and clearing damp and promoting diuresis.
Algorithms ; Data Mining ; Databases, Factual ; Drug Prescriptions ; standards ; Drugs, Chinese Herbal ; therapeutic use ; Humans ; Mucus ; chemistry ; Practice Patterns, Physicians' ; Respiratory Tract Diseases ; drug therapy

The clinical prescriptions of hemoptysis that built by Menghe physician Ma Peizhi were collected, and were analyzed by the method of unsupervised data mining, such as association rules and clustering algorithm. From the prescriptions, we got the frequency of drugs, the association rules among drugs, 10 core drug combinations and 5 new prescriptions. Accordingly, after the analysis, Menghe physician Ma Peizhi had rich experience in the treatment of hemoptysis. His therapy for hemoptysis was clearing heat and moistening lung, dispel heat from blood to stop bleeding, and enriching yin and blood. And we can also make a conclusion that the TCM inheritance support system is of great practical value for minning the old doctors' clinical experiences.
Data Mining ; Databases, Factual ; Drug Prescriptions ; standards ; Drugs, Chinese Herbal ; chemistry ; therapeutic use ; Hemoptysis ; drug therapy ; Humans ; Practice Patterns, Physicians'

Based on the data mining methods of association rules and clustering algorithm, the 188 prescriptions for cough that built by Yan Zhenghua were collected and analyzed to get the frequency of drug usage and the relationship between drugs. From which we could conclude the experiences of Yan Zhenghua for the treatment of cough. The results of the analysis were that 20 core combinations were dig out, such as Bambusae Caulis in Taenias-Almond-Sactmarsh Aster. And there were 10 new prescriptions were found out, such as Sactmarsh Aster-Scutellariae Radix-Album Viscum-Bambusae Caulis in Taenian-Eriobotryae Folium. The results of the analysis were proved that Yan Zhenghua was good at curing cough by using the traditional Chinese medicine that can dispel wind and heat from the body, and remove heat from the lung to relieve cough.
Algorithms ; Cough ; drug therapy ; Data Mining ; Drug Prescriptions ; Drug Therapy, Combination ; Drugs, Chinese Herbal ; therapeutic use ; Humans ; Practice Patterns, Physicians'

The prescriptions containing pericarpium citri reticulatae that built by Professor. Yan were collected to build a database based on traditional Chinese medicine (TCM) inheritance assist system. After analyzed by data mining, such as apriori algorithm, the frequency of single medicine, the frequency of drug combination, the association rules between drugs and core drug combinations can be get from the database. Through the analysis of 1 027 prescriptions with pericarpium citri reticulatae, these prescriptions were commonly used to treat stomach aches, cough and other syndromes. The most frequency drug combinations were "Citri Reticulatae Pericarpium-Poria", "Paeoniae Radix Rubra-Citri Reticulatae Pericarpium" and so on. The drug association rules that the confidence was 1 were "Glycyrrhizae Radix ex Rhizoma --> Citri Reticulatae Pericarpium", "Paeoniae Alba Radix-Cyperi Rhizoma --> Citri Reticulatae Pericarpium", "Poria --> Citri Reticulatae Pericarpium", and so on. The drugs in the prescriptions containing pericarpium citri reticulatae that built by Professor Yan mostly had the effects of regulating the flow of Qi and invigorate blood circulation, which reflected the clearly thought when making prescriptions.
Citrus ; chemistry ; Data Mining ; Drug Interactions ; Drug Prescriptions ; Drug Therapy, Combination ; Drugs, Chinese Herbal ; pharmacology ; Humans ; Practice Patterns, Physicians'

Data mining, as known as knowledge discovery in databases, is a non-trivial process of revealing the implied, previously unknown and potentially useful information from the massive data. In recently years, the applications of data mining in the field of pharmaceutical research of traditional Chinese medicine have widespread. Especially in the field of the heritage of experiences of na-tional medical masters, data mining plays an important role. In this study, we would expound of the use of methods of data mining in the heritage of experiences of national medical masters, and analyze their advantages and disadvantages, such as association rules, Bayesian networks, neural networks, and decision trees.
Data Mining ; Databases, Pharmaceutical ; Medicine, Chinese Traditional ; Neural Networks (Computer)

Objective To explore the optimal b value in MR DWI for breast.Methods Forty patients with palpable masses of breasts underwent MR and DWI at b = 1000, 800 and 600 s/mm2 before surgery according prospective planning. Visual assessment, signal to noise ratio (SNR) of DWI and the ADC values of benign and malignant lesions were compared among three b values using one-way ANOVA test.The diagnostic value of ADC were analyzed by ROC curves.Results Of the 40 patients, there were 26 patients with malignant lesions and 14 patients with benign lesions verified by histopathology.36 patients with 42 lesions were examined by DWI, and detectabilities at three b values were alike.Most DWI at b = 1000, 800 and 600 s/mm2 were of high quality, and images of grade A were 75.0% (30/40), 77.5% (31/40) and 77.5% (31/40), respectively.Mean SNR at b = 1000, 800 and 600 s/mm2 were 63 ± 22,82 ± 27 and 96 ± 29 respectively.Compared with one another, there was statistically significant difference (P <0.01).Mean ADC of benign lesions at different b values were (1.44 ± 0.28) × 10-3, (1.50 ± 0.32) × 10-3 and (1.52±0.29) × 10-3 mm2/s respectively. Compared with one another, there was no statistically significant difference (P = 0.725).Mean ADC of malignant lesions were (1.00 ± 0.25) × 10-3, (0.98 ± 0.19) × 10-3 and (1.07 ± 0.22) × 10-3 mm2/s respectively.Compared with one another, there was also no statistically significant difference (P = 0.358).The area under the ROC curves at b = 1000,800 and 600 s/mm2 were 0.879,0.885 and 0.865 respectively.Threshold value to distinguish benign and malignant lesions were 1.295 × 10-3,1.435×10-3 and 1.335×10-3 mm2/s respectively.Sensitivity of diagnosing breast cancer were 80.0%, 92.0% and 84.0%, and specificity were all 90.0% . Positive predictive values were 95.2%, 95.8% and 95.5% at b = 1000, 800 and 600 s/mm2.Conclusion Combining SNR and the value of ADC in diagnosing benign and malignant breast lesions, the study indicated that b = 800 s/mm2 was the optimal b value in breast DWI.

OBJECTIVETo introduce the framework of evidence-based practice with a case of castration-resistant prostate cancer (CRPC) as an example.

METHODSA clinical question was formulated according the clinical scenario. A systematic search was conducted for the published literature in the databases of PubMed, EMBASE, Cochrane Library, Clinical Trial Registries, and Web of Knowledge up to Dec 2014. The identified literature was reviewed for quality appraisal before the evidence was applied to clinical practice.

RESULTSThe treatment was effective and the patient achieved disease remission.

CONCLUSIONEvidence-based practice should be integrated with clinical scenario, current evidence, and patients' willingness, and follow a systematic framework.

Objective To observe the effect of low arsenic sub-chronic exposure on blood routine test index in rabbits to pave a way for screening early injury of the low arsenic exposure. Methods Twelve healthy male rabbits were randomly divided into four groups. They were administrated with As at the concentration of 0(control), 10, 50 and 250 μg/L in the drinking water. Blood samples were collected from the vein of the ear edge in 8 weeks, and blood test routine including leukocyte (WBC), lymphocyte (LYM), lymphocyte percentage (LYM%), neutrophil (GRA), neutrophil percentage (GRA%), monocyte (MON), monocyte percentage (MON%), red blood cell (RBC), hemoglobin (HGB), hematocrit (HCT), mean corpuscular volume (MCV), mean corpuscular hemoglobin content (MCH), mean corpuscular hemoglobin concentration(MCHC), RDW, platelets(PLT), mean platelet volume(MPV), platelet hematocrit(PCT) and platelet distribution width (PDW), were detected by the ABX-60 hemocyte analyzer. Results Compared with the control group, the WBC, GRA and GRA% increased in 0, 50 and 250 μg/L groups, but there was no significance(P > 0.05). PLT and MPV had a statistical significance in 4 groups(F = 4.07,4.20, all P < 0.05). Compared with the control group[(292.00±16.97)×109/L, (7.10±0.99)fL], PLT decreased in the 250 μg/L group [(221.33±22.50)×109/L] and MPV decreased in the 50μg/L group [(5.57±0.46)fL] significantly (P < 0.05). The other index didn't change obviously. Conclusions Sub-chronic low level arsenic exposure may lead to the change in the blood system. The blood routine test may be considered for early injury of the arsenic poisoning.