The Chinese Medical Association celebrates its 90th founding anniversary

The Chinese Medical association (CMA) celebrated its 90th founding anniversary from April 12 to 14, 2005. The 23rd Congress of the CMA was held at the same time. Five hundred and sixty CMA member representatives from the mainland of China and 122 guests from Hong Kong, Macao, Taiwan Province and other countries attended the celebration. In addition, 89 specially invited persons presented at the congress. Also at the jubilee were some officers including vice Minister of the Ministry of Civil Affairs Jiang Li, Director of the State Durg and Food Administration Zheng Xiao-yu, vice Ministers of the Ministry of Public Health Wang Long-de, Jiang Zuo-jun, Yu Jing, Huang Jie-fu, Zhang Feng-lou, and Chen Xiao-hong, and the Honorary Chairman Wu Jie-ping.

THE 22ND NATIONAL CONGRESS OF THE MEMBER REPRESENTATIVES OF THE CHINESE MEDICAL ASSOCIATION

Ｔｈｅ２２ｎｄＮａｔｉｏｎａｌＣｏｎｇｒｅｓｏｆｔｈｅＭｅｍｂｅｒＲｅｐｒｅｓｅｎｔａｔｉｖｅｓｏｆｔｈｅＣｈｉｎｅｓｅＭｅｄｉｃａｌＡｓｏｃｉａｔｉｏｎ（ＣＭＡ）ｗａｓｈｅｌｄｉｎＢｅｉｊｉｎｇｆｒｏｍＡｐｒｉｌ９ｔｏ１１，１９９９Ｔｈｅｃｏｎｇ...

Call for Papers International Symposium on Toxicology Jointly Sponsored by the China Preventive Medical Association and the Chinese Pharmacological Society

The scientific program will consist of symposia and poster sessions. Topics related to theoretical and applied research in the domain of toxicology and toxicological studies on chemicals of public concern will be welcome. The presenter’s name, address, and telephone and FAX numbers should be submitted along with the title of the presentation and whether it is oral or poster. Deadline: April 15, 1990. Papers should be submitted to:

Announcement on Raising Exhibition Items About History of Chinese Medical Association

The Chinese Medical Association (CMA) is the largest national-level medical and academic organization in China. Established in 1915, as a non-profit and academic organization voluntarily formed by Chinese science and technology medical professionals, the CMA is an important social force in the development of medical science and technology and healthcare courses in China. After a hundred years of development, the CMA now has 88 specialty societies, 677,000 members and 478 professional sub-society groups. The CMA has joined 42 international or regional medical organizations, and keeps close cooperation with medical associations of every province, autonomous region, municipality and deputy-provincial level city. The CMA publishes 186 paper and electronic medical journals, and hosts nearly 200 international and national high-level medical academic conferences every year.

Medical Journal of Chinese People′s Liberation Army INSTRUCTIONS TO AUTHORS

Aims andscope of the Journal.Medical Journal of Chinese People's Liberation Army(Med J Chin PLA)is a multiple-subjects medical periodical published by the People's Military Medical Press,under the auspice of Department of Health,General Logistics Department of PLA,and it

Medical Journal of Chinese People′s Liberation Army INSTRUCTIONS TO AUTHORS

Aims and scope of the Journal. Medical Journal of Chinese People’s Liberation Army (Med J Chin PLA) is a multiple-subjects medical periodical published by the People’s Military Medical Press, under the auspice of Department of Health, General Logistics Department of PLA, and it is issued domestically and abroad. Med J Chin PLA has become one of the source journals of statistics in Chinese Scientific Thesis and Chinese Scientific Quotation Database, the key periodical of multiple-subject medical journals, and is a prize journal of National Periodical Award and one of the Top Hundred Periodicals in China. Med J Chin PLA is issued monthly. Its permanent sections include Expert Forum, Research on Special Topics, Medical Treatises, Experimental Research, Clinical Research, Technology and Methodology, Discussion of Knotty Cases (Pathology), Reviews, Military Medical Sciences, News in Medicine etc. Manuscripts sent by both domestic and overseas writers are welcome. Contribution of reviews is usually invited by the Editors, but recommendations for topics and authors are welcomed.

Medical Journal of Chinese People′s Liberation Army INSTRUCTIONS TO AUTHORS

Aims andscope of the Journal .Medical Journal of Chinese People’s Liberation Army (Med J Chin PLA) is a multiple-subjects medical periodical published by the People’s Military Medical Press,under the auspice of Department ofHealth, General Logistics Department of PLA,andit is issued

Autonomy and authority in medical futility

Medical futility has been proposed for many years to define the procedure that simply prolongs the suffering of patients but heals nothing.To deal with the decision procedure for treatment,two ideas arise：patients＇autonomy and doctors＇authority.Widely recognized in 1960s,patients＇autonomy respected patients＇willingness over treatment,requiring specific consent for treatment and right to choose during medical procedure.Another idea for futility is doctors＇authority,explained from the paternalistic perspective as well.

Medical Journal of Chinese People's Liberation Army INSTRUCTIONS TO AUTHORS

Aims andscope of the Journal .Medical Journal of Chinese People’s Liberation Army ( Med J Chin PLA) is a multiple-subjects medical periodical publishedby the People’s Military Medical Press,under the auspice of Department of Health, General Logistics Department of PLA,andit

External Association Analysis of Famous Doctors' Dysmenorrhea Medical Cases Based on Data Mining

Objective:Dysmenorrhea is a common gynecological disease.Some severe symptoms affect the quality of life,causing physical and psychological discomfort.To analyze the dysmenorrhea cases of famous Senior traditional Chinese medicine(TCM)doctors and TCM masters through the data mining technology and explore core related rules between the symptoms,pathogenesis,coated tongue,pulse condition,so as to deeply deconstruct the law of TCM clinical differentiation and treatment of dysmenorrhea,verify the effectiveness of the law,and optimize the clinical TCM diagnosis and treatment scheme.Methods:The external correlation analysis of dysmenorrhea medical cases through the Medcase data processing platform and the algorithm of FP-Growth enhanced association analysis was applied.Results:Altogether 171 medical records were studied,which included 171 female patients and 483 clinical visits.The age of the oldest patient was 49,the age of the youngest was 14,the average age was 28 years old.The medical cases involoved 41 kinds of pathogenesis,147 clinical symptoms,16 types of pulse condition,84 types of coated tongue and 292 traditional Chinese medicine.The external correlation processing revealed that there were 25 groups of clinical symptoms and TCM association rules;17 groups of clinical symptoms and secondary TCM association rules;21 groups of pathogenesis and Chinese medicine association rules;34 rules of coated tongue and Chinese medicine association rules;19 rules of pulse condition and Chinese medicine association rules;28 rules of clinical symptoms and pathogenesis associations.Conclusion:When treating dysmenorrhea according to the differentiation and treatment of TCM,the viscera location of the core pathogenesis mainly are kidney,spleen and liver,the pathological factors focus on blood deficiency,blood stasis and qi stagnation.The highly-related TCM include Danggui(Radix Angelicae Sinensis),Baishao(Radix Paeoniae Alba),Chuanxiong(Rhizoma Ligustici),Yanhusuo(Rhizoma Corydalis),Xiangfu(Rhizoma Cyperi).The study of these rules has reference value for the acquisition of the core pathogenesis,the clinical differentiation and the medication.

Rule of prescribing traditional Chinese medicine in the treatment of pneumoconiosis basedon association rules and k-means clustering algorithm

Objective:To analyze the rule of prescribing traditional Chinese medicine for treating pneumoconiosis,so as to provide reference for differential diagnosis and treatment of pneumoconiosis as well as for the development of new drugs for treatingthe disease.Methods:We searched China National Knowledge Infrastructure,Wanfang Database and VIP Chinese PublicationDatabase to retrieve relevant literatures which were then screened according to the enrollment criteria to establish a prescriptiondatabase of traditional Chinese medicine for the treatment of pneumoconiosis.The inheritance calculation platform of traditionalChinese medicine was used to analyze the prescribing rule of traditional Chinese medicine in the treatment of pneumoconiosisbased on association rules,k-means clustering algorithm and regression model analysis.Results:A total of 131 related literature were preliminarily selected,from which 97 prescriptions of traditional Chinese medicine with a total of 195 herbs were included.The most frequently prescribed herbs included Radix astragali,Platycodon grandiflorum,Pinellia ternata,licorice,Codonopsispilosula,Salvia miltiorrhiza,bitter almond etc.A total of 14 association rules,13 high-frequency herb pairs were found and 5groups of formulas were revealed by cluster analysis.Conclusion:The prescriptions for the treatment of pneumoconiosis are mainly composed of herbs for tonifying deficiency,resolving phlegm,relieving cough and asthma,activating blood circulation and removingblood stasis,which are supplemented with herbs for clearing heat,relieving appearance,regulating qi,promoting waterand permeating dampness,etc.,The prescribing rules reflect the basic pathological characteristics of lung deficiency and collateral arthralgia in pneumoconiosis,which provides some ideas for the clinical differentiation and treatment of pneumoconiosis in traditionalChinese medicine.It also provides reference for the research and development of new treatment methods.

Traditional Chinese medicine Master XIONG Jibo’s medication experience in treating arthralgia syndrome through data mining

Objective This study aimed to examine and propagate the medication experience and group formula of traditional Chinese medicine(TCM)Master XIONG Jibo in diagnosing and treat-ing arthralgia syndrome(AS)through data mining.Methods Data of outpatient cases of Professor XIONG Jibo were collected from January 1,2014 to December 31,2018,along with cases recorded in A Real Famous Traditional Chinese Medicine Doctor:XIONG Jibo's Clinical Medical Record 1,which was published in December 2019.The five variables collected from the patients’data were TCM diagnostic information,TCM and western medicine diagnoses,syndrome,treatment,and prescription.A database was established for the collected data with Excel.Using the Python environment,a custom-ized modified natural language processing(NLP)model for the diagnosis and treatment of AS by Professor XIONG Jibo was established to preprocess the data and to analyze the word cloud.Frequency analysis,association rule analysis,cluster analysis,and visual analysis of AS cases were performed based on the Traditional Chinese Medicine Inheritance Computing Platform(V3.0)and RStudio(V4.0.3).Results A total of 610 medical records of Professor XIONG Jibo were collected from the case database.A total of 103 medical records were included after data screening criteria,which comprised 187 times(45 kinds)of prescriptions and 1506 times(125 kinds)of Chinese herbs.The main related meridians were the liver,spleen,and kidney meridians.The properties of Chinese herbs used most were mainly warm,flat,and cold,while the flavors of herbs were mainly bitter,pungent,and sweet.The main patterns of AS included the damp heat,phlegm stasis,and neck arthralgia.The most commonly used herbs for AS were Chuanniuxi(Cyathu-lae Radix),Huangbo(Phellodendri Chinensis Cortex),Cangzhu(Atractylodis Rhizoma),Qinjiao(Gentianae Macrophyllae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangqi(Astragali Radix),and Chuanxiong(Chuanxiong Rhizoma).The most common effect of the herbs was“promoting blood circulation and removing blood stasis”,followed by“supple-menting deficiency(Qi supplementing,blood supplementing,and Yang supplementing)”,and“dispelling wind and dampness”.The data were analyzed with the support≥15%and con-fidence=100%,and after de-duplication,five second-order association rules,39 third-order association rules,39 fourth-order association rules,and two fifth-order association rules were identified.The top-ranking association rules of each were“Cangzhu(Atractylodis Rhizoma)→Huangbo(Phellodendri Chinensis Cortex)”“Cangzhu(Atractylodis Rhizoma)+Chuanniuxi(Cyathulae Radix)→Huangbo(Phellodendri Chinensis Cortex)”“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)→Qinjiao(Gentianae Macrophyllae Radix)”and“Chuanniuxi(Cyathulae Radix)+Danggui(Angelicae Sinensis Radix)+Gancao(Glycyrrhizae Radix et Rhizoma)+Huangbo(Phello-dendri Chinensis Cortex)→Qinjiao(Gentianae Macrophyllae Radix)”,respectively.Five clusters were obtained using cluster analysis of the top 30 herbs.The herbs were mainly dry-ing dampness,supplementing Qi,and promoting blood circulation.The main prescriptions of AS were Ermiao San(二妙散),Gegen Jianghuang San(葛根姜黄散),and Huangqi Chongteng Yin(黄芪虫藤饮).The herbs of core prescription included Cangzhu(Atractylodis Rhizoma),Chuanniuxi(Cyathulae Radix),Gancao(Glycyrrhizae Radix et Rhizoma),Huangbo(Phellodendri Chinensis Cortex),Mugua(Chaenomelis Fructus),Qinjiao(Gentianae Macro-phyllae Radix),Danggui(Angelicae Sinensis Radix),and Yiyiren(Coicis Semen).Conclusion Clearing heat and dampness,relieving collaterals and pain,and invigorating Qi and blood are the most commonly used therapies for the treatment of AS by Professor XIONG Jibo.Additionally,customized NLP model could improve the efficiency of data mining in TCM.

Study on medication regularity of traditional Chinese medicine cases in treatment of neoplastic fever based on data mining

Objective:To analyze the medication regularity of traditional Chinese medicine cases in treatment of neoplastic fever in order to guide clinical medication.Methods:The database of China National Knowledge Infrastructure,Vip database and WanFang medical network were searched.The cases involving traditional Chinese medicine prescription in the treatment of neoplastic fever were screened.After extracting the prescriptions and Chinese medicines,make statistics according to frequency analysis,cluster analysis and association analysis.Results:79 literatures were included which involving 123 decoctions.221 traditionalChinese medicines were included in the statistics,the most frequently used traditional Chinese medicines were Gancao,Chaihu,Huangqi and Shengdihuang.The proportion of heat-clearing drugs in Chinese medicines was the largest(23.98%).The most common property of the Chinese medicines is cold property,accounting for 51.13%.The higher frequencies of flavors of the Chinese medicines are bitter,sweet and acrid,the sum of which is 84.66%.The most common meridian of Chinese medicines is liver meridian,accounting for 19.82%.The cluster analysis and association analysis of high frequency Chinese medicines showed that high frequency Chinese medicines could form three clustering formulas,and could get 18 pairs of high frequency drug combinations.Conclusion:Traditional Chinese medicines for heat-clearing,deficiencytonifying,phlegm-resolving,blood stasis-dispeling are mostly used to the treatment of neoplastic fever.The results of cluster analysis and association analysis of high frequency traditional Chinese medicines can provide certain reference and guidance for clinical medication.