Comparative Study on Ancient and Modern Prescriptions Containing Eucommia ulmoides / 中国药房

OBJECTIVE：To comp are the meridian tropism of compatible herbs and compatibility rules of ancient and modern prescriptions containing Eucommia ulmoides ，and to provide theoretical basis for modern clinical application of E. ulmoides . METHODS：Ancient prescriptions containing E. ulmoides were screened from Dictionary of TCM Prescription . The prescriptions containing E. ulmoides were screened from clinical trials which published in CNKI ，Wanfang database and VIP during Jan. 2000 to Jan. 2020. Data mining methods such as frequency statistics and Apriori algorithm were used to analyze the main diseases of ancient and modern prescriptions containing E. ulmoides and the use frequency ，types，meridian tropism and compatibility rules of medical materials. RESULTS ：A total of 84 ancient prescriptions and 188 modern prescriptions of E. ulmoides were included. Ancient prescriptions were mainly used to treat diseases such as back pain ，deficiency，threatened abortion. Modern prescriptions were mainly used to treat osteoarthropathy （mainly lumbar intervertebral disc herniation ），gynecological diseases ，cardiovascular diseases. Cinnamomum cassia ，Angelica sinensis and Achyranthes bidentatawerethe were the high-frequency compatible herbs in ancient prescriptions with E. ulmoides ，and were tonifying medicine ，dispelling wind and dampness medicine and clearing heat medicine；compatible herbs were mainly of warm property ，and the channel tropism was mostly kidney meridian and liver meridian；the five tastes of compatible herbs were mainly sweet and spicy. A. sinensis ，Glycyrrhiza uralensis and Rehmanniae Radix Praeparata were the high-frequency compatible herbs in modern prescriptions with E. ulmoides ，and were mainly tonic medicine，anti-rheumatic medicine ，medicine for promoting blood circulation and removing blood stasis ；compatible herbs were mainly of warm property ，and the channel tropism was mostly liver meridian and kidney meridian ；the five tastes of medicine were mainly bitter and spicy. By analyzing the Apriori association rules of high-frequency herbs ，a total of 10 core herbs combinations were obtained in ancient prescriptions ，including 8 third-order association rules and 2 fourth-order association rules ；a total of 11 core herbs combinations were obtained in modern prescriptions ，including 3 third-order association rules and 8 fourth-order association rules. CONCLUSIONS ： Ancient and modern prescriptions containing E. ulmoides are mainly used to treatlumbar disease ， followed by obstetrics and gynecology com diseases. In addition ，the modern prescriptions can also be #used for the treatment of cardiovascular and cerebrovascular diseases. The ancient prescriptions mainly focus on warming and tonifying ，while the modern prescriptions are more compatible with medicine for dispelling wind and dampness and medicine for promoting blood circulation and removing blood stasis on the basis of tonifying deficiency ；most of the medicines in ancient prescriptions contribute in kidney and liver meridians ，mainly sweet and pungent ，while most of the medicines in modern prescriptions contribute in liver meridian ，and are more compatible with bitter medicines.

Research on rules of syndrome differentiation and medication of coronary heart disease based on data mining / 中草药

Objective: To analyze the rules of coronary heart disease syndrome differentiation based on the data mining technology. Methods: First of all, the famous medical records and prescriptions were collected and normalized to construct the database of coronary heart disease prescriptions. Then, IBM SPSS Statistics 20.0, a statistical software, was used to conduct statistics on the distribution of drug frequency, disease site syndrome frequency and disease syndrome frequency. Finally, the Apriori algorithm was applied to carry out data mining and analyze the underlying law of drug compatibility. Results: A total of 145 prescriptions were selected and analyzed, including 216 Chinese medicines, eight syndromes of disease location and 12 syndromes of disease nature. Forty-six herbs with higher frequency were found, and the top five TCM herbs were Salvia miltiorrhiza, Glycyrrhiza uralensis, Trichosanthes kirilowii, Pinellia ternata and Ligusticum chuanxiong. The main syndromes of disease location were heart, kidney, spleen and liver, while the main syndromes of disease nature were blood stasis, qi deficiency, phlegm, deficiency of yang, qi stagnation, and deficiency of yin. When the minimum support was 15% and the minimum confidence coefficient was 70%, the association rule analysis results showed that a total of 15 association rules for two-herb-combinations and 26 association rules for the trigeminy medications were obtained. The most frequency two-herb-combinations were Allium macrostemon→T. kirilowii", "Schisandra chinensis→Ophiopogon japonicus", "Curcumae Radix→S. miltiorrhiza. The most frequently used trigeminy medications were A. macrostemon + P. ternata→T. kirilowii, S. miltiorrhiza + A. macrostemon→T. kirilowii and A. macrostemon + G. uralensis→T. kirilowii. Conclusion: The syndrome differentiation and medication of TCM in the treatment of coronary heart disease mainly focus on invigorating the circulation of blood and resolving stasis, moving qi, nourishing and replenishing qi, clearing up phlegms. It is consistent with the main syndromes of the disease nature, such as blood stasis and qi deficiency, and the herbs mostly return to the heart meridian, which is consistent with the main syndromes of the disease location. The rules of syndrome differentiation and medication of based on the data mining technique have great value for clinical medication guidance and application to analyze the prescription for coronary heart disease.

Study on Medication Regulation and Pharmaceutical Property of Tibetan Medicine Prescription of Punica gran- atum Seeds Based on Apriori Algorithm and “Ro Nus Zhu rJes ”Vector Model / 中国药房

OBJECTIVE：To invest igate the medication regulation of Tibetan medicine prescription of Punica granatum seeds， and to analyze the pharmaceutical property of it in the treatment of “Sanweihuo”（Me drod gusm) dysfunction induced-related diseases. METHODS ：Using Clinical Notes of Tibetan Medicine ，Medicine Standard of the Ministry of Public Health ：Tibetan Medicine as standard ，Tibetan medicine prescriptions of P. granatum seeds recorded in Sibu Yidian ，Yuewang Yaozhen and other medical records were collected ，and TCMISS V 2.5 software was used to analyze main indication and medicine frequency statistically. The core medicine combinations of the prescriptions were analyzed with Apriori algorithm （support degree ≥50％， confidence degree ≥90％)，and medication regulations were analyzed. Tibetan medicine “Ro Nus Zhu rJes ”vector model was used to analyze the properties of Tibetan medicine prescription of P. granatum seeds in the treatment of high frequency diseases ，and K-means cluster analysis was carried out for seventeen effectiveness. RESULTS ：A total of 300 Tibetan medicine prescriptions of P. granatum seeds were collected ，involving 104 kinds of main indications ，among which frequency of 18 kinds of indications was more than or equal to 10 times，including“non-indigestion syndrome ”（Ma Zhu ba) （76 times)，“wood cloth disease ”（Smug po) （46 times)，“edema”（Chu nad) （34 times)，etc. Totally 322 kinds of Tibetan medicines were involved. Among them ，21 flavors were more than or equal to 50 in frequency ，including Piper longum （192 times)，Amomum kravanh （164 times) and Carthamus tinctorius（134 times)，etc. Fifty-six core combinations were obtained ，mainly including P. granatum seeds-P. longum （192 times)， P. granatum seeds-A. kravanh （164 times) and P. granatum seeds-C. tinctorius （134 times). The prescriptions （13 pieces) with six flavors as pungent ，sweet and sour ，and with prominent medicinal properties such as roughness ，heat and dry effects could be used to treat “non-indigestion syndrome ”，and then included into type Ⅰ. The prescriptions （13 pieces) with six flavors as bitter ，sweet and pungent ，and with prominent medicinal properties such as cooling ，dull and heavy effects could be used to treat “wood cloth disease”，and then included into type Ⅱ. The prescriptions （11 pieces) with six flavors as sweet ，sour and pungent ，and with prominent medicinal properties such as dull ，heavy and moistening effects could be used to treat “edema”，and then included into type Ⅲ. CONCLUSIONS ：Tibetan medicine P. granatum seeds is often used in combination with the isothermal medicines such as P. longum ，A. kravanh . P. granatum seeds are also commonly found in cool prescriptions ，revealing that Tibetan medicine pays attention to “Sanweihuo”while treating diseases ，which embodies the academic thought of Tibetan medicine that “there is cooling in temperature ，and there is temperature in cooling ”.

Analysis of Application of Puerariae Lobatae Radix in Health Food / 中国实验方剂学杂志

There are 486 kinds of health food with Puerariae Lobatae Radix as the main raw material, mainly including health food for protecting liver, health food for regulating blood lipid, health food for adjusting blood pressure, health food for regulating blood sugar, and health food for regulating immunity.Based on the establishment of a health food recipe database with Puerariae Lobatae Radix as the main raw material, the Apriori algorithm in association rules was used to explore the formula rule of health food of Puerariae Lobatae Radix.The results showed that among the 174 kinds of hepatoprotective health food, the most used raw materials were Noveniae Fructus and Schisandrae Chinensis Fructus;the common combinations of three raw materials were Puerariae Lobatae Radix-Gardeniae Fructus-Paeoniae Radix Alba, Puerariae Lobatae Radix-Gynostemmatis Pentaphylli Herba-Cassiae Semen, etc.Among the 91 kinds of health food for regulating blood lipid, the most widely used raw materials were Cassiae Semen and Gynostemmatis Pentaphylli Herba;the common combinations of three raw materials were Puerariae Lobatae Radix-Cassiae Semen-Chrysanthemi Flos, Puerariae Lobatae Radix-Alismatis Rhizoma-Mori Folium, etc.Among the 41 kinds of health food for regulating blood pressure, the most widely used raw materials were Eucommiae Cortex and Salviae Miltiorrhizae Radix et Rhizoma;the common combinations of the three raw materials were Puerariae Lobatae Radix-Cassiae Semen-Ostreae Concha, Puerariae Lobatae Radix-Salviae Miltiorrhizae Radix et Rhizoma-Sophorae Flos, etc.Among the 105 kinds of health food for regulating blood sugar, the most widely used raw materials were Dioscoreae Rhizoma and Astragali Radix;the common combinations of three raw materials were Puerariae Lobatae Radix-Notoginseng Radix et Rhizoma-Lycii Cortex, Puerariae Lobatae Radix-Dioscoreae Rhizoma-Poria, Puerariae Lobatae Radix-Dioscoreae Rhizoma-Lycii Cortex, etc.Among the 75 kinds of health food for regulating immunity, the most widely used raw materials were Astragali Radix and Lycii Fructus;the common combinations of three raw materials were Puerariae Lobatae Radix-Gastrodiae Rhizoma-Eucommiae Cortex, Puerariae Lobatae Radix-Mori Fructus-Lonicerae Japonicae Flos, Puerariae Lobatae Radix-Panacis Quinquefolii Radix-Crataegi Fructus, etc.

Analysis of Medication Rules of the Prescription Containing Strychnos nuxvomica in the Dictionary of Traditional Chinese Medicine Prescription / 中国药房

OBJECTIVE： To provide reference for the clinical use and dosage form development of Strychnos nuxvomica. METHODS： The prescriptions containing S. nuxvomica were collected and sorted from the Dictionary of Traditional Chinese Medicine Prescription， and then formula name， prescription source， name of treatment disease， composition， usage and dosage， medication route were input into Access 2010 and database was established. According to the usage， these prescriptions were divided into internal use and external use， and the frequencies of diseases treated by internal/external use prescriptions were counted respectively. Apriori algorithm of SPSS Modeler 18.0 software was used to analyze the drug combination rule of compound prescription containing S. nuxvomica. RESULTS： A total of 78 prescriptions were included， of which 42 were oral prescriptions， 33 were external prescriptions and 3 were both oral and external prescriptions. Internal prescriptions were used to treat diseases such as atrophy-flaccidity disease， arthralgia， hemorrhoids， anal fistula， bones and muscles pain. The external prescriptions were mainly used to treat skin diseases， tumors， lump. Internal and external prescriptions could treat sore， injuries and fractures. In internal prescriptions， S. nuxvomica was often compatible with Boswellia carterii， myrrha， Daemonorops draco， Manis pentadactyla， pyritum， Angelica sinensis， Ephedra sinica， Aconitum kusnezoffii. In external prescriptions， S. nuxvomica was often compatible with Radix Paeoniae， Rehmannia glutinosa， Phellodendron chinense， Coptis chinensis， Scutellaria baicalensis， Angelica sinensis， Angelica dahurica， Buthus martensii. Most of S. nuxvomica were used after processing， and mainly took sesame oil as an auxiliary material （77.97％）. CONCLUSIONS： Diseases treated with the prescriptions containing S. nuxvomica can be classified into three types of diseases， i.e. polymyalgia rheumatica and paralysis， bruise and bone fracture， carbuncle and stubbornness tinea. In external prescriptions， S. nuxvomica is often compatible with drug for clearing heat and drying dampness， cooling blood and activating blood， and relieving pain. In internal prescriptions， S. nuxvomica is often compatible with the agents for blood-activating and stasis-resolving medicinal. In addition， the processing of S. nuxvomica with sesame oil is an important measure to ensure its safety.

Prescription Rules for the Prescriptions Containing Coptis chinensis-Zingber ojjicinale Couplet Medicine Based on TCM Inheritance Support Platform / 中国药房

OBJECTIVE： To provide a theoretical basis for the development of the following products of Coptis chinensis- Zingiber ojjicinale couplet medicine （“Coptis chinensis-Zingiber ojjicinale” for short） prescription. METHODS： The prescriptions containing Coptis chinensis-Zingiber ojjicinale were collected from the Dictionary of TCM Prescription and input into TCM inheritance support platform software （V2.5） to establish the database. The frequency of major diseases and compatibility medicinal materials were analyzed statistically. The core combination of medicinal materials in the prescriptions containing Coptis chinensis-Zingiber ojjicinale were analyzed statistically with association rule Apriori algorithm （support degrees were 15％， 20％， 25％， confidence was 0.90）. Top 2 main diseases in the list of frequency， compatibility medicinal materials for dispelling internal cold and medicine for clearing heat with highest compatibility frequency were selected and analyzed in respect of prescription rules. RESULTS： A total of 492 prescriptions containing Coptis chinensis-Zingiber ojjicinale were screened， 9 kinds of major diseases （frequency≥15）， such as dysentery， diarrhea， accumulation， fullness. There were 21 commonly used compatibility medicinal materials （frequency≥55）， including Angelica sinensis-Panax ginseng， Magnolia officinalis， Aconitum carmichaelii， Scutellaria baicalensis， etc. There were 19 commonly used medicinal materials combinations， including Coptis chinensis-Zingiber ojjicinale-Panax ginseng， Coptis chinensis-Zingiber ojjicinale- Magnolia officinalis， Coptis chinensis-Zingiber ojjicinale-Angelica sinensis. There are 5 kinds of core medicinal materials commonly used in treating dysentery with Coptis chinensis-Zingiber ojjicinale，and 9 kinds of core medicinal materials for treating dysentery. There are 8 kinds of core medicinal materials in Coptis chinensis-Zingiber ojjicinale compatible with medicine for dispelling internal cold Aconitum carmichaelii prescription.and 7 core medicinal materials in compatible with medicine for clearing heat Scutellaria baicalensis prescription. CONCLUSIONS： The major diseases treated with prescriptions containing Coptis chinensis-Zingiber ojjicinale are mainly digestive tract diseases. It can treat different diseases being compatible with different medicinal materials， this study aslo can provide theoretical basis for the development of subsequent products.

A revelation about frequent itemset of stroke by using Apriori algorithm / 中国医学装备

Objective: To study the rule pattern of risk factor of stroke through data analysis of preliminary screening of large-scale stroke. Methods: The preliminary screening data of risk factors in stroke were gathered from the National Center for Stroke Screening and Prevention and Control. And the association rules mining was adopted in the research. The relevant risk factors of stroke in large-scale crowd were researched, and 0.1% was chose as minimum support and 10% were used as minimum confidence coefficient. The rule mode of stroke was mined by using above conditions. Results: In the nine risk factors of the table of preliminary screening, there was a weak correlation between "transient ischemic attack (TIA) in past", "hypertension", "family history of stroke" and stroke, respectively. And TIA, atrial fibrillation or valvular heart disease, family history of stroke, hypertension and diabetes were the most important risk factors. At the same time, the study found that age would become an important risk factor for stroke when patient was older than 60. Conclusions: In the 21 presumptive rule patterns with big probability, some of them has not received sufficient attention in past. And the rule pattern of risk factor of stroke provides a new diagnostic basis with value.

Knowledge-based model to support decision-making when choosing between two association data mining techniques / Modelo basado en conocimiento para apoyar la toma de decisiones entre dos técnicas de asociación de la minería de datos / Modelo baseado no conhecimento para apoiar a tomada de decisões entre duas técnicas de associação de mineração de dados

Abstract Introduction. This paper presents the functionality and characterization of two Data Mining (DM) techniques, logistic regression and association rules (Apriori Algorithm). This is done through a conceptual model that enables to choose the appropriate data mining project technique for obtaining knowledge from criteria that describe the specific project to be developed. Objective. Support decision making when choosing the most appropriate technique for the development of a data mining project. Materials and methods. Association and logistic regression techniques are characterized in this study, showing the functionality of their algorithms. Results. The proposed model is the input for the implementation of a knowledge-based system that emulates a human expert's knowledge at the time of deciding which data mining technique to choose against a specific problem that relates to a data mining project. It facilitates verification of the business processes of each one of the techniques, and measures the correspondence between a project's objectives versus the components provided by both the logistic regression and the association rules techniques. Conclusion. Current and historical information is available for decision-making through the generated data mining models. Data for the models are taken from Data Warehouses, which are informational environments that provide an integrated and total view of the organization.

Resumen Introducción. El artículo muestra en un modelo conceptual basado en conocimiento la caracterización y funcionalidad de dos técnicas de Minería de Datos (MD) regresión logística y reglas de asociación, para elegir la técnica de MD apropiada en proyectos de obtención de conocimiento a partir criterios que describen el proyecto específico a ser desarrollado. Objetivo. Apoyar la toma de decisiones en el momento de elegir cual técnica es la más apropiada para el desarrollo de un proyecto de minería de datos. Materiales y métodos. Las técnicas de asociación y regresión logística son caracterizadas, mostrando la funcionalidad de sus algoritmos. Resultados. El modelo propuesto es el insumo para la implementación de un Sistema basado en conocimiento que imita el conocimiento de un experto humano en el momento de tomar la decisión de que técnica de minería de datos escoger frente a un problema específico que relaciona un proyecto de minería de datos. Facilita la verificación de los procesos de negocio de cada una de las técnicas, y mide la correspondencia entre los objetivos trazados de un proyecto versus los componentes que ofrecen la técnica de regresión logística y la técnica de reglas de asociación. Conclusión. La información actual e histórica se encuentra disponible para la toma de decisiones a través de los modelos generados por la minería de datos. Los datos para los modelos son provenientes de bodegas de datos, las cuales son entornos informativos, que proporcionan una visión integrada y total de la organización.

Resumo Introdução. O artigo mostra em um modelo conceituai baseado no conhecimento a caracterização e funcionalidade de duas técnicas de regressão logística de Data Mining (MD) e regras de associação, para escolher a técnica de MD apropriada em projetos de aquisição de conhecimento com base em critérios que descrevem a Projeto específico a ser desenvolvido. Objetivo. Apoie a tomada de decisão no momento da escolha da técnica mais apropriada para o desenvolvimento de um projeto de mineração de dados. Materiais e métodos. As técnicas de associação e regressão logística são caracterizadas, mostrando a funcionalidade de seus algoritmos. Resultados. O modelo proposto é a entrada para a implementação de um sistema baseado no conhecimento que imita o conhecimento de um perito humano ao decidir qual técnica de mineração de dados escolher contra um problema específico que relaciona um projeto de mineração para informações. Facilita a verificação dos processos de negócios de cada uma das técnicas e mede a correspondência entre os objetivos de um projeto versus os componentes que oferecem a técnica de regressão logística e a técnica das regras de associação. Conclusão. Informações atuais e históricas estão disponíveis para a tomada de decisões através de modelos gerados pela mineração de dados. Os dados para os modelos provêm de data warehouses, que são ambientes informativos, que fornecem uma visão integrada e total da organização.

Study on Medication Regularity of Famous TCM Doctors for Diabetes Based on Improved Apriori Algorithm / 中国中医药信息杂志

Objective To analyze the medication regularity of TCM famous doctors for diabetes by using improved Apriori algorithm to obtain more efficient data mining methods. Methods This article put forward Apriori vertical data storage, and improved ADPM obtained by difference set method was used to conduct data mining to find out the medication regularity in Guo Jia Ji Ming Lao Zhong Yi Tang Niao Bing Yan An Liang Fang. Results After screening, 402 prescriptions were included, involving 24 kinds of high-frequency medicine, 15 high-frequency medical combinations, and 18 highly-dependent medical combinations, which were mainly tonifying deficiency medicine, clearing heat medicine, blood-activating and stasis-resolving medicine, and damp-draining diuretic medicine. Conclusion ADPM algorithm can be applied in the analysis on medication regularity and find out high-frequency medicine, medical combinations and medical dependent relation, with high efficiency.

Correlation analysis of TCM diagnosis and treatment based on Apriori algorithm with grouping association / 医疗卫生装备

Objective To analyze the correlation between the TCM diagnosis and treatment data to provide support for scientific research and clinical treatment.Methods The characteristics of TCM diagnosis and treatment data were analyzed.An improved Apriori algorithm with grouping association was put forward,and association analysis on the data from the encephalopathy database of some hospital was carried out to verify the feasibility of the algorithm.Results Grouped operation was executed for association properties to reduce the association between noncorrelated data,so that the efficiency of the algorithm was enhanced greatly.Conclusion Improved Apriori algorithm with grouping association consumes shorter time than the classical one,and thus is worthy promoting in TCM diagnosis and treatment data application.

Correlation analysis of TCM diagnosis and treatment based on Apriori algorithm with grouping association / 医疗卫生装备

Objective To analyze the correlation between the TCM diagnosis and treatment data to provide support for scientific research and clinical treatment.Methods The characteristics of TCM diagnosis and treatment data were analyzed.An improved Apriori algorithm with grouping association was put forward,and association analysis on the data from the encephalopathy database of some hospital was carried out to verify the feasibility of the algorithm.Results Grouped operation was executed for association properties to reduce the association between noncorrelated data,so that the efficiency of the algorithm was enhanced greatly.Conclusion Improved Apriori algorithm with grouping association consumes shorter time than the classical one,and thus is worthy promoting in TCM diagnosis and treatment data application.

Analysis on Medical Behaviors of Patients Based on Big Data Mining of Electronic Medical Records (EMR) Information / 医学信息学杂志

Based on the literature review of medical behaviors,big data mining and related rules,the paper introduces the basic contents of big data mining and related rule algorithm-Apriori algorithm,takes partial Electronic Medical Records (EMR) system data of the First Affiliated Hospital of Zhengzhou University as the basis,conducts mining analysis on factors such as the gender,age,operation records,critical ill records,visiting distance and hospital days of a patient by adopting Apriori algorithm of related rule,obtains the rules of medical behaviors of patients of different visiting distances,and puts forward relevant policies and suggestions.

Research on the Rules of Apoplexy Treatment Based on Optimized Apriori Algorithm / 医学信息学杂志

On the basis of summarizing association rules algorithm and algorithm optimization,the paper explores the rules of prescription compatibility in the scheme for apoplexy diagnosis and treatment through Traditional Chinese Medicine (TCM),establishes the TCM Electronic Medical Records (EMR) database,processes and analyzes the data based on the classical association rule-Apriori algorithm,introduces the parameter optimization mining results of correlated measurement parameters Kulc and IR,eliminates pseudo strong association principle,gets the drug compatibility with strong correlation and theoretical significance,and provides theoretical guidance and reference for apoplexy medication through TCM.

Analysis for risk factors of type 2 diabetes mellitus based on FP-growth algorithm / 中国医学装备

Objective:We do it to solve the problem of low efficiency in analyzing risk factors of type 2 diabetes mellitus by Apriori Algorithm.Methods: We used the patients’ data from the information department of one tertiary referral hospital in Lanzhou which include course note of disease and their health record form January 2009 to March 2014.We found out that the FP-growth algorithm analyzes risk factors of type 2 diabetes better. And we analyzed the efficiency by programming FP-growth and Apriori algorithm with C#.Results: We can analyze the run time and recorded data, time and support degree.Conclusion:The FP-growth algorithm has a higher efficiency in analyzing risk factors of type 2 diabetes mellitus.

Analysis of clinical medication rules in 48 398 patients with limb fractures based on hospital information system / 中国中药杂志

To explore the clinical medication rules in the patients with limb fractures, and provide guidance for clinical practice. Data of 48 398 patients with limb fractures from 2001 to 2011 was extracted from the hospital information system(HIS) established by the institute of basic research in clinical medicine, China academy of Chinese medical sciences. The gender and age distribution of patients and clinical medication characteristics were described. Apriori algorithm was adopted to analyze the common drug combinations of Chinese medicine(CM) and western medicine(WM). The study results showed that the ratio of included males and females was 1.83∶1. There was a high peak of incidence for the patients from 18 to 44 years. Apriori algorithm showed that the usage of WM was more frequent than that of CM. The most commonly used CM was Lugua polypeptide and sodium aescinate injection. Blood-activating and stasis-resolving medicines, as well as tendons and bones-strengthening medicines were the commonly used CM types. In addition, WM antibiotics plus blood-activating and stasis-resolving CM, or antibiotics plus tendons and bones-strengthening CM was the most commonly used drug combination. Based on the analysis of available data, the prevalence of limb fracture was higher in men than in women; more in young and middle-aged patients; the common drug combination was antibiotics plus blood-activating and stasis-resolving CM, or antibiotics plus tendons and bones-strengthening CM. More prospective and high-quality clinical trials are necessary to evaluate the effect of CM or integrative medicine treatment for limb fracture in the future research.

Analysis and application of TCM data preprocessing method based on Apriori algorithm / 医疗卫生装备

To present a data processing method of traditional Chinese medicine based on Apriori algorithm to improve the efficiency of data mining and ensure the accuracy of the knowledge or conclusion in the data mining. The importance of data preprocessing in data mining was analyzed, along with the characteristics of TCM data and the requirements of Apriori algorithm for mining data. Some new functions were formed with considerations on the exam-ples. The data preprocessing was explored from the aspects of terminology standardization, eliminating unqualified data, structured prescription data, data sorting and etc. The new functions were simple and easy to operate, and the preprocessed data made the efficiency of TCM data mining enhanced greatly. The preprocessing method based on Apriori algorithm for TCM data facilities the TCM data mining.

Study on prediction of high risk group of Type 2 diabetes based on Apriori algorithm / 中国医学装备

Objective: To discover and prevent diabetes early in high-risk group. Methods:Chose 323 records of type 2 diabetes or IFG,IGT patients with first course which come from a large hospital in Lanzhou between 2009 January to 2014 March; Use Apriori algorithm and the SPSS Clementine 12 software design;Set up prediction model of type 2 diabetes. Results:A total of 10 strong association rules are formed. The strong association rules contain some associations between factors and type 2 diabetes. Conclusion: Through the association rules, the initial judgment on the high-risk group of diabetes is simple and accurate.