Multifactorial study of mobile phone dependence in medical students: Relationship to health-related lifestyle, Type A behavior, and depressive state

We investigated factors contributing to mobile phone dependence. To 139 medical students, we administered a self-reporting questionnaire designed to evaluate mobile phone dependence, health-related lifestyle, patterns of behavior, and depressive state. Multivariate logistic regression analysis revealed that scores for poor health-related lifestyle, Type A behavior pattern, and presence of depression are independently associated with degree of mobile phone dependency. These findings suggest that persons with an unhealthy lifestyle, Type A behavior traits, or depression might benefit from mobile phone use guidance.

The law of oral traditional Chinese medicine for insomnia based on Chinese medical code

Objective:This study aimed to collect,sort out and excavate the literature on the diagnosis and treatment of insomnia in Chinese Medical Code,and to explore the law of internal administration of traditional Chinese medicine in the treatment of insomnia.Methods:We used"Chinese Medical Code"as the source of data retrieval,"insomnia","not sleepy","no sleeping"and"eye not sleeping"as the key words,and excluded temporary insomnia,physiological insomnia,insomnia caused by other diseases,and excluded other methods such as acupuncture and massage,the medical cases.Prescriptions of insomnia treated with traditional Chinese medicine were screened out.The database was established by using Microsoft excel 2010.Descriptive statistics were used to analyze the frequency,menstruation of nature,taste and efficacy of traditional Chinese medicine.We analyzed the association rules between drugs and mined the rules of prescriptions by the Apriori algorithm in SPSS Modeler 14.1.Results:A total of 147 prescriptions,138 traditional Chinese medicines,20 pairs of core drugs,57 common drug combinations and 3 core pharmaceuticals were included.The basic prescription is:Suan Zao Ren,Bai Zi Ren,Fu Shen,Fu Ling,Yuan Zhi,Dang Gui,Gan Cao(Zhi).Conclusion:In summary,according to the drug analysis above,the main disease of insomnia is in the heart,involving the liver,spleen and kidney.Because it involves different viscera and syndrome,the methods of treatment are also different.However,there is a basic pathogenesis,that’s the loss of mental nourishment.By excavating the law of the use of traditional Chinese medicine in the treatment of insomnia on the Chinese Medical Code,we expect that it can guide the treatment of insomnia.

Based on the Chinese medical canon to excavate the medicine law of yellowish leucorrhea disease

Background:In order to collect and analyze the literature on yellowish leucorrhea disease in Chinese Medical Canon,and to explore its treatment and medication law with data mining.Methods:The Chinese Medical Canon was used as the data retrieval source,and“Huangdai”(yellowish leucorrhea disease)and and other keywords were used as the keywords to do literature search.After excluding“gestational yellowish leucorrhea”,“jaundice and yellowish leucorrhea”and other diseases,the literature retrieval and data sorting and analysis were carried out,and the database was established by using Microsoft Excel 2010.Descriptive statistical method was used to analyze the nature,flavour,channel tropism and efficacy of medicine.Combined with the method in“the Research Platform for Inheritance of Traditional Chinese Medicine Academic Thoughts of Famous Gynecologists of Traditional Chinese Medicine”,the association rules between drugs were analyzed and their rules were excavated.Results:Eighty-seven prescriptions,152 traditional Chinese medicines,20 core drug pairs,39 common drug combinations and 5 core drug groups were collected and included.Conclusion:“Damp-Heat”is the fundamental pathological product of yellowish leucorrhea disease,and the basic treatments are“Releasing Heat”and“Eliminating Dampness”,“Regulating Liver Qi”and“Promoting Blood Circulation”,and“strengthening spleen”and stopping leucorrhea.

Ancient and modern medication laws of aromatic Chinese medicines in treating angina pectoris based on data mining

Objective To explore ancient and modern medication laws of aromatic Chinese medicines in treating angina pectoris, and to provide new ideas for the clinical treatment.Methods With “angina pectoris” as the key word, ancient books prescriptions and Chinese patent medicines related to angina pectoris were collected from China National Knowledge Infrastructure(CNKI), Traditional Chinese Medicine Database System, Chinese Medicine Prescription Database, New National Proprietary Chinese Medicine(2 nd edition), and Chinese Pharmacopoeia(2020 edition) from January 1, 2015 to December 31, 2021. Core highfrequency aromatic Chinese medicines were defined, and their potential medication rules were analyzed and summarized. Microsoft Access 2010 was used for data management. Data analysis software, including Excel and IBM SPSS Modeler 18.0 were used for drug association rule analysis, and Cytoscape 3.7.2 for visual display.Results There were 67 ancient books prescriptions and 258 Chinese patent medicines containing aromatic Chinese medicines treating angina pectoris collected from relevant databases. In ancient books prescriptions, there were nine aromatic Chinese medicines with the frequency ≥10, and the most commonly used medicine was Danggui(Angelicae Sinensis Radix), followed by Chenpi(Citri Reticulatae Pericarpium). There were 33 aromatic Chinese medicines with the frequency ≥10 in Chinese patent medicines, and the most commonly used medicine was Danshen(Salviae Miltiorrhizae Radix et Rhizoma), followed by Chuanxiong(Chuanxiong Rhizoma) and Sanqi(Notoginseng Radix et Rhizoma). In ancient books prescriptions, the medicines mainly belonged to intenal-warming medicines, Qi-regulating medicines, and blood circulation promoting and blood stasis removing medicines.There were eight medicine pairs with confidence equal to 100% in ancient books prescriptions, the most frequently used pairs were Chuanxiong(Chuanxiong Rhizoma) +Danggui(Angelicae Sinensis Radix), and Xiangfu(Cyperi Rhizoma) + Chenpi(Citri Reticulatae Pericarpium). In Chinese patent medicines, the aromatic Chinese medicine Chuanxiong(Chuanxiong Rhizoma) could be combined with many other Chinese medicines, among which the Confidence and Support of Chuanxiong(Chuanxiong Rhizoma) + Danshen(Salviae Miltiorrhizae Radix et Rhizoma) were at a high level.Conclusion Aromatic Chinese medicines for the treatment of angina pectoris of coronary heart disease are mainly warm, and the flavors are mainly pungent, sweet, and bitter. They mainly access to the liver, gallbladder, and pericardium meridians. The treatment of angina pectoris of coronary heart disease mainly focuses on warming heart pulse, and promoting blood circulation and removing blood stasis.

Influence of Metabolic Syndrome versus Musculoskeletal Disorders on Saudi Health-Related Quality of Life

Aim: This work aimed to study the influence of two chronic health conditions, metabolic syndrome (MetS) and musculoskeletal disorders (MSDs), on the health-related quality of life (HRQoL) of Saudis. Method: The Medical Outcomes Study Short Form-36 (SF-36) health status questionnaire was used to measure the HRQoL and compare the mean scores of the questionnaire subscales and physical and mental component summaries (PCS and MCS) of 33 patients with MetS, 18 patients with MSDs, and 30 apparently healthy (AH) subjects. Regression analysis was used to measure the prediction power of the study group, age and gender of the participants in estimating the HRQoL. Results: Results showed that the mean scores of the physical subscales, the PCS, the mental subscales and MCS were arranged in descending order from AH subjects, patients with MetS, to patients with MSDs. The mean scores difference among the 3 study groups were statistically significant with the only exception for the general mental health (GMH) subscale (P = 0.404). The study group and age accounted for 41.8% of the variability of PCS while the study group accounted for 19.6% of the variability in the MCS. The resulted equation to estimate the PCS score was as follows: PCS = 113.18 - 12.85 (Group: 0 for AH, 1 for MetS, and 2 for MSDs) - 0.67 age. On the other hand the resulted equation to estimate the MCS score was as follows: MCS = 76.203 - 10.426 (Group: 0 for AH, 1 for MetS, and 2 for MSDs). Conclusion: Patients with MetS and patients with MSDs had lower HRQoL than AH subjects. All the physical and mental dimensions of HRQoL are negatively influenced with MetS and with MSDs with the only exception for the GMH subscale. The physical and mental burden of MSDs is more dominant. The study group and age can be used to predict the PCS while the study group can be used to predict the MCS.

Analysis of herbs use law and mechanism of traditional Chinese medicine in preventing and treating postoperative complications of breast cancer

Objective:Excavate the compatibility rules of traditional Chinese medicine for preventing and treating postoperative complications of breast cancer,study the potential mechanism of prevention and treatment with traditional Chinese medicine.Methods:Collate and analyze the relevant prescriptions collected from CNKI and the core drug combination and the new formula are obtained by adopting the traditional Chinese medicine inheritance auxiliary system(TCMISSV2.5).Use BATMAN-TCM online analysis tool to analyze KEGG pathways of high frequency drugs and predict the potential signal pathways.Results:Data mining has selected 10 pairs of core herb combinations and 5 new recipes of 133 prescriptions.In the network pharmacology analysis of bai zhu,huang qi,fu ling,the potential signaling pathways of its action are the neuroactive ligand-receptor interaction pathway and calcium signaling pathway.Conclusion:Herbs for invigorating spleen and qi and herbs for nourishing blood and activating blood are commonly used to prevent and treat postoperative complications of breast cancer.Core herbs may play their role by interfering with the neuroactive ligand-receptor interaction pathway and calcium signaling pathway.

Analysis of medication law of treatment of cholelithiasis by internal traditional Chinese medicine based on traditional Chinese medicine inheritance system

Objective:Based on the Traditional Chinese Medicine Inheritance System version 2.5 to explore the rule of medication used in internal traditional Chinese medicine for cholelithiasis in the national patent network.Method:Collect the internal administrations of cholelithiasis in the national patent network,and enter them into the Chinese medicine inheritance system version 2.5,adopt frequency analysis,association rules,complex system entropy clustering and other data mining methods to analyze the prescription rule of traditional Chinese medicine cholelithiasis.Results:According to the inclusion and exclusion criteria,215 prescriptions were selected,involving 398 drugs,30 drugs with a frequency of>20,and 39 commonly used drug pairs.The core drugs are:Jinqiancao(Herba Lysimachiae),Yujin(Radix Curcumae),Chaihu(Radix Bupleuri),Yinchen(Herba Artemisiae Scopariae),Jineijin(Endothelium Corneum Gigeriae Galli),Dahuang(Radix et Rhizoma Rhei),Gancao(Radix Glycyrrhizae),Huangqin(Radix Scutellariae),Baishao(Raidix Paeoniae Alba),Muxiang(Radix Aucklandiae),Zhishi(Fructus Aurantii Immaturus),Yanhusuo(Rhizoma Corydalis),Huzhang(Rhizoma Polygoni Cuspidati),Haijinsha(Herba Lygodii).And 9 new prescriptions have been got.Conclusion:In the national patent network,the traditional Chinese medicine is used in the treatment of cholelithiasis.The main treatment is clearing heat and dampness,regulating Qi and relieving pain,and promoting gallbladder removing stone,providing reference for clinical treatment of cholelithiasis.

A study on the medication law of oral administration of traditional Chinese medicine in treating breast carbuncle based on the Traditional Chinese Medicine Prescription Dictionary

Objective:Based on the database of Traditional Chinese Medicine Prescription Dictionary,the prescription medication rules of oral administration of traditional Chinese medicine in the treatment of breast carbuncle were explored by using the software of Traditional Chinese Medicine Inheritance Support System(V2.5).Methods:To screen and retrieve the prescriptions for treating breast carbuncle in the Traditional Chinese Medicine Prescription Dictionary,and data mining was carried out by using association rule algorithm,complex system entropy clustering and so on.Results:A total of 208 prescriptions which met the inclusion criteria were selected,involving 175 traditional Chinese medicines.Among them,23 medicines were found to be more than 21 times in the treatment of breast carbuncle.The nature of the medicine is mainly cold or warm,the flavour of the medicine is mainly bitter or sweet,most of them belong to the spleen,liver,stomach.15 commonly used drug combinations and 9 new prescriptions were obtained.Conclusion:The key pathogenesis of breast carbuncle is liver depression and Qi stagnation,stomach heat blocking collaterals,the treatment is mainly to clear heat and detoxify,regulate Qi to diffuse the knot,which provides reference for the choose of traditional Chinese medicine prescription in treating breast carbuncle.

Analysis on the Medication Law of Drug Pair Acorus Tatarinowii-Polygala Tenuifolia Based on the Dictionary of Traditional Chinese Medicine Prescriptions

Objective:Using data mining method to dig and sort out the prescriptions with Acorus tatarinowiiPolygala tenuifolia drug pair,and summarize the medication characteristics and compatibility of their prescriptions after preliminary screening.Methods:By searching the Dictionary of Traditional Chinese Medicine Prescriptions,a standardized database of prescriptions was established,and the properties,tastes and meridian tropism of prescriptions were classified,and the indications of prescriptions and core combinations of traditional Chinese medicines were analyzed.Results:178 prescriptions were collected,of which 210 were related.Most of the drugs were warm in nature and sweet in taste,and mainly return to the heart and kidney meridians.Under the same confidence and different support,the core drug combination for treating brain diseases was Acorus tatarinowiiPolygala tenuifolia-Ginseng,and the core drug combination for treating asthenia was Acorus tatarinowii-Poria cocos-Rehmannia glutinosa-Polygala tenuifolia.Conclusion:The compatibility characteristics of the prescriptions containing Acorus Tatarinowii and Polygala tenuifolia in the Dictionary of Traditional Chinese Medicine Prescriptions are remarkable,which provides reference for scientific guidance of clinical rational drug use and basic research of prescriptions containing Acorus tatarinowii and Polygala tenuifolia.

Adherence to immunosuppressor medication in renal transplanted patients

Non-adherence is a priority public health concern. Non-adherence means not taking medications, missing medications, taking too much, not taking enough, wrongtiming, wrong dose and/or wrong pill, but may also refer to missing appointments, not booking appointments, not doing blood work, not returning calls and/or refusal to follow the treatment regimen. In renal transplantation, adherence to immunosuppressive medication is a fundamental requisite in order to preserve graft function, since non-adherence is one of the main causes for late acute rejection, incomplete recovery after rejection treatment, chronic graft dysfunction, graft loss, and death. Transplantation failure due to treatment nonadherence is economically, socially, ethically and morally unjustifiable. This is a very prevalent issue: in some studies, its incidence is as high as 70% of patients. The self-reported nonadherence levels found in certain studies, including those performed immediately after transplantation show the need for early and continued intervention after kidney transplantation in order to maximise adherence and consequently clinical outcomes. There is not a single method to assess non adherence, thus combining several measures increases diagnostic accuracy. Electronic monitoring with a microdevice that records each time a pill bottle is opened is considered the "gold standard" for measuring adherence, but selfreport at a confidential interview was the best measure of adherence. Thus non-adherence risk can be effectively assessed using clinically available assessment tools. Medication Adherence Scale, Brief Medical Questionnaire, Immunosuppressant Therapy Adherence Scale, Immunosuppressant Therapy Barrier Scale, Long-Term Medication Behavior Self-Efficacy Scale and Simplified Medication Adherence Questionnaire are some of the self-reported questionnaires. There are multiple factors associated with non-adherence in immunosuppressant therapy: Younger patients(adolescent, especially), poor health coverage, poor social support, unmarried, no family, non-Caucasian, immigrant, lower income, lower socioeconomic class, greater parental distress and lower family cohesion; complex medical regimens, higher number of drugs, longer time after transplant, toxicity, side effects, poor tolerance to medication, higher number of physicians involved, poor provider-patient rapport; psychological(dependency, high levels of anxiety and hostility, poorer behavioral functioning and greater distress in children) and psychiatric(depression) illnesses, low self-efficacy with medicine intake, perception of immunosuppressive therapy as not been necessary to preserve kidney function, forgetfulness, rebelliousness, poor perception of health, poor satisfaction, low Health-related quality of life, addictions, lack of coping strategies and avoidance behavior; patient morbidity: comorbidity, receiving a transplant from a live donor, retransplantation, and noninsulin-dependent diabetes. The most frequent strategies to promote medication-taking must focus on modifiable risk factors. Reasons for non-adherence are complex and diverse and any successful intervention aimed at improving adherence must be multidimensional. Although effective intervention strategies are needed to improve immunosuppressant therapy adherence, few intervention studies have been conducted in the adult renal transplant population. In this study, we perform an exhaustive review of the different strategies reported in the literature. A number of key reasons for non-adherence are also provided.

Medication rules of traditional Chinese medicine ointment for diabetic foot ulcer

Objective:Based on data mining,to explore the clinical characteristics of traditional Chinese medicine ointment in the treatment of diabetic foot ulcer.Methods:to search the literatures about the treatment of diabetic foot ulcer by traditional Chinese medicine ointment in CNKI,Wangfang and VIP.In this paper,the prescription of traditional Chinese medicine ointment in the literature of treating diabetic foot ulcer was extracted,and the database of prescription was established by using v2.5 to analyze and mine the rule of medication.Results:95 prescriptions for diabetic foot ulcer were sorted out,involving 158 prescriptions.Among them,dragon's blood and Lithospermum are the most frequently used drug combinations.The core combination of 10 groups and 5 new prescriptions are obtained by evolution.Conclusion:the treatment of diabetic foot ulcer with traditional Chinese medicine ointment mainly includes clearing away heat,promoting blood circulation and removing blood stasis,and tonifying deficiency.

Study on medication rules of traditional Chinese medicine for Meniere's disease based on data analysis

Objective:Study on medication rules of traditional Chinese medicine in treating Meniere's disease based on data mining technology.Methods:Computer retrieval with since establishment of the“CNKI”,“WF”,“VIP”,there have been literatures on the treatment of Meniere syndrome with Traditional Chinses medicine.Memory preprocessing in accordance with inclusion criteria.Then,EXCLE 2010,SPSS Statistics(ver.25)and SPSS Modeler(ver.18.0)were adopted respectively for frequency analysis,cluster analysis and association rules analysis.Result:A total of 133 references were included in this study,146 prescriptions,192 kinds of drugs,and the total frequency of drugs was 1702.The high frequency Meniere syndrome types were spleen deficiency and phlegm dampness syndrome,wind phlegm syndrome,gallbladder depression and phlegm disturbance syndrome,hyperactivity of liver yang syndrome,phlegm and blood stasis syndrome.The efficacy of drug frequency≥25 were summarized as follows,antiasthmatic drugs for relieving phlegm and relieving cough,diuresis-removing dampness,Tonic drugs,etc.High frequency meridian of drugs are:lung,liver,spleen,etc.High frequency drug properties are:temperature,cold,flat etc.High frequency drug taste:bitter,sweet,pungent,etc.Core drugs:Pinellia,Atractylodes,Poria,Gastrodia,etc.The main prescriptions werealisma soup,Banxia Baizhu Tianma Decoction,Zhengan Xifeng Decoction and Xiaochaihu Decoction.Conclusion:In this study,data mining was used to sort out the treatment of Meniere's disease by traditional Chinese medicine.It was found that the treatment of Meniere's disease was mainly to calm the liver and strengthen the spleen,supplemented by regulating qi and activating blood,clearing heat and opening orifices,tonifying deficiency and tranquilizing mind.

Analysis of effect of external therapies of traditional Chinese medicine on eczema by data mining

Objective:To determine medication regularity external therapies of Traditional Chinese medicine of eczema by data mining.Methods:Papers were retrieved from databases Pubmed,CNKI,WF,VIP,CBM,Web of Science and Embase.From the establishment of the database to April 2020 were searched.The main points of Medication Regularity were established with Excel 2016 software;the characteristics and laws in external therapies of Traditional Chinese medicine Treatment of eczema were analyzed with the relevance rule and cluster analysis Methods in data mining technology.Results:The property and flavor of the herbs mainly used were cold,bitter,while the channel which are mostly involved included liver meridian,lung meridian and Bladder Meridian,The analysis of association rules showed that kushen and difuzi had the highest correlation.The clustering analysis figured out 7groups of the herbs.Conclusion:The study presents the common pair herbs in the treatment of external therapies of Traditional Chinese medicine of eczema,which provides the approach to syndrome differentiation and medication in clinical treatment of eczema.

Medication rules in treating phlegm-heat syndrome of acute ischemic stroke based on data mining

Objective:To analyze the medication rule of Traditional Chinese Medicine(TMC)in treating acute ischemic stroke(AIS)with phlegm-heat syndrome based on date mining.Methods:All clinical studies of TMC treatment for phlegm heatexcess pattern stroke at acute stage were searched from SinoMed,CNKI,VIP,Wanfang,Pubmed.The retrieval time was from the establishment of each database to 27 April 2020.Establish database through"Ancient and Modern Medical record Cloud platform(V2.2.3)"software.SPSS20.0 and SPSS Modeler 18.0 software was used to explore clustering analysis and drug association rule analysis of high frequency drugs.Results:60 articles were finally included and 59 prescriptions were collected.The result shows that the commonly used drugs are mostly warm and cold,and the taste is mainly sweet and bitter.The main distribution of meridian tropism is stomach,liver and spleen.In these prescriptions,the frequently used drug pairs were“Trichosanthis fructus”,“Rhei radix et rhizoma”and so on.The association analysis results showed that“Arisaema cum bile-Rhei radix et rhizoma”had the highest correlation.The clustering analysis figured out 2 groups of the herbs.Conlusion:The TCM treatment of AIS should be based on the drugs of clearing heat,resolving phlegm and dredging viscera.Because most of these drugs are bitter and cold,we should pay attention to taking care of the spleen and stomach while expelling evil.

Study on the medication rule of Wang Xun in the treatment of dysentery based on Data Mining

Objective: Based on data mining, Wang Xun's medication rule in the treatment of dysentery was discussed. Methods: the traditional Chinese medicine used in the prescriptions for dysentery in Wang Xun's "Tzu hang Ji Sanyuan Puji Fang" was counted, the names of the drugs were standardized, and their properties, taste, efficacy and meridian tropism were investigated respectively. The database was established with the help of Microsoft Excel 2016, SPSS statistic 24.0 and SPSS modeler 18.0 computer software, and the frequency analysis and high-frequency drug association rules were carried out Analysis, cluster analysis. Results: 44 prescriptions of Wang Xun's dysentery were sorted out and 64 traditional Chinese medicines were used, of which 22 were high-frequency drugs (drugs with frequency ≥ 5%). The top ten drugs were Cheqianzi, Danggui, liquorice, Muxiang, white peony, Fructus aurantii, areca, Poria cocos, radish and rhubarb. The correlation analysis produced "Raphanus seed→Plantago asiatica, Bitter orange→liquorice, tangerine peel→Fructus aurantii, Fructus aurantii→Cheqianzi, areca There are 15 associations of 2 kinds of drugs, such as hammer, Cheqianzi, Fructus aurantii, Muxiang, and so on. Cluster analysis shows that there are 4 cluster formulas: Angelica, Cheqianzi, Raphani, Fructus aurantii, white peony, liquorice, areca, red peony, tangerine peel, rhubarb, Fructus aurantii, Magnolia officinalis and Coptis. Conclusion: the method of data mining is to study the rule of Wang's prescription in the treatment of dysentery, so as to summarize the characteristics of Wang's prescription in the treatment of dysentery, which has guiding significance for clinical treatment of dysentery.

基于数据挖掘的急性痛风性关节炎中医用药规律研究

目的基于数据挖掘方法探讨急性痛风性关节炎的中医组方用药特点,为临床治疗提供参考。方法检索中国知识资源总库(CNKI)、万方数据知识服务平台(Wanfang Data)、维普中文期刊服务平台(VIP)、中国生物医学文献服务系统(SinoMed)收录的中医药治疗急性痛风性关节炎的临床研究文献,筛选后将获得的方药录入Excel2019建立数据库,使用SPSS Modeler 18.0、SPSS Statistics 26.0、Cytoscape3.9.1软件进行频次分析、关联规则分析、聚类分析和因子分析。结果共纳入符合要求的文献290篇,纳入处方295首,涉及中药218味,药物累计使用3573次。薏苡仁、黄柏、苍术、土茯苓、萆薢、甘草、牛膝等24味药为治疗急性痛风性关节炎高频用药。常用药物功效类别为清热药、利水渗湿药、活血化瘀药、祛风湿药,药性以寒为主,药味以苦为主,归经以肝经、胃经、脾经、肾经为主。高频药物关联规则分析得出22组药物组合,其中核心药对有黄柏-苍术、薏苡仁-苍术-黄柏等。聚类分析得出4个聚类方,因子分析得出9个公因子。结论中医治疗急性痛风性关节炎用药以清热利湿、祛瘀通络为主,兼补益肝肾、调养脾胃,可为临床治疗急性痛风性关节炎提供参考。

Analysis of drug use law and mechanism of prostate cancer based on data mining and network pharmacology

Objective: Excavate the medication rule of traditional Chinese medicine in the treatment of prostate cancer, and predicting the biomolecular level mechanism of high-frequency drug compatibility. Methods: Relevant documents in CNKI, Wanfang Medical Network and VIP Chinese Biomedical Periodical Database Pubmed, EMbase were collected and collated systematically. Frequency statistics, association rule analysis and new party mining were carried out using TCMISSV2.5. BATMAN-TCM was used to analyze the interaction relationship and related pathways between high-frequency drug targets. Results: Huangqi (Astragalus membranaceus) was the single drug most used of the 102prescriptions included in the standard. There are 6 pairs of combinations with high confidence in association rule analysis. System entropy cluster analysis resulted in 20 core drug combinations and 9 new prescriptions. Through KEGG pathway analysis of Huangqi, Fuling (Poria cocos), Gancao (Glycyrrhiza uralensis) and Dihuang (Rehmannia glutinosa), it was found that the number of potential targets of the neural active ligand receptor rented pathway and purine metabolism pathway was the largest. Conclusions: Prostate cancer is mainly treated with deficiency-tonifying drugs, which are combined with drugs for promoting blood circulation, removing blood stasis, clearing heat, promoting diuresis, detoxifying and resolving hard mass. The mechanism of action of high-frequency traditional Chinese medicine may be realized by interfering with the neuroactive ligand receptor interaction pathway and purine metabolism pathway.

Evolution of health law in Turkey

Turkey has always been one of the leading countries in the field of health and fundamental rights.Though Turkey is a member of many international organizations and a candidate state for the European Union,had some regulations on fundamental rights,patients rights and right to health,even before the international papers,such as the Universal Declaration of Human Rights,did not come into force.Turkey always follows closely to the new developments in health care technologies,that is why Turkey continues to be one of the most chosen countries in international health tourism.These improvements in health care drive Turkey to adjust its regulations related to patients'fundamental rights and right to access to health.In the 2000s,health law postgraduate programs were founded in some universities in Turkey.With these programs,research in health law has been accelerated.Turkey will be one of the leading countries in health law too in the next few years.In this study,we started with the fundamental sources of the right to health in Turkey;then we continued with current objects at issue in Turkish health law;then we gave place to the current problems of Turkish health law such as reproductive rights,problems related to organ and tissue transplantations,increasing numbers of legal cases against health care professionals,their possible solutions and the future expectations.

基于数据挖掘的无症状高尿酸血症中医用药规律研究

目的基于数据挖掘方法探讨中医治疗无症状高尿酸血症的用药特点。方法检索中国知网(CNKI)、万方数据知识服务平台(Wanfang Data)、维普资讯中文期刊服务平台(VIP)、中国生物医学文献服务系统(SinoMed)收录的中医药治疗无症状高尿酸血症的临床研究文献,将筛选后获得的方药录入Excel2019建立数据库,使用SPSS Modeler 18.0、SPSS Statistics 26.0、Cytoscape3.9.1软件进行频次分析、关联规则分析、聚类分析和因子分析。结果共纳入文献133篇,得到处方140首,涉及中药202味,药物累计使用1387次。土茯苓、薏苡仁、萆薢、苍术等22味药物为治疗无症状高尿酸血症高频用药。常用药物类别为利水渗湿药、补虚药、清热药、活血化瘀药;药性以温性为主,药味以甘味为主,归经以肝经、脾经、胃经、肾经为主。高频药物关联规则分析得出21组药物组合,其中核心药对有薏苡仁-苍术、土茯苓-萆薢-薏苡仁、薏苡仁-苍术-土茯苓等。聚类分析得到5个聚类方,因子分析得出7个公因子。结论中医治疗无症状高尿酸血症以利水渗湿、健脾益气为法,用药以土茯苓、薏苡仁、萆薢、苍术为主,可为临床治疗无症状高尿酸血症提供参考。

基于证候-药物的新安医家治疗咳嗽医案数据挖掘研究

目的 通过数据挖掘方法研究新安医家治疗咳嗽医案的证候-药物关联规律及组方用药规律,为咳嗽病的治疗提供参考。方法 收集并归纳治疗咳嗽的新安医家医籍医案,使用频次分析、拓扑学分析、Louvain聚类分析方法,对证候、方药进行数据挖掘研究,探讨咳嗽治疗医案中证候与药物的关系及组方规律。结果 共纳入525则医案,共得出风热犯肺证、痰湿蕴肺证、肺气虚证等26种证候;涉及243味药物,频次>70的药物有18味,以性寒、温、平,味甘、苦、辛,入肺经,或性平、温,味甘,入脾胃经药物居多;药物功效类别共25类,以补气药、清热药多见;得出甘草、茯苓、苦杏仁等30味核心药物及核心药物网络;证候-药物聚类分析得出外感咳嗽及内伤咳嗽实证和虚证主要证候的核心药物配伍。结论 新安医家诊治咳嗽病特色鲜明,在止咳化痰及对证治疗的基础上重视“固本培元”“养阴护阴”“培土生金”等方法的运用及经方的继承使用。