Innovative Practice of Medical Chinese Teaching Based on Constructivism Theory

Based on constructivism theory and task-driven teaching methods,medical Chinese teaching gradually transitions from the current teaching mode to a“student-centered”teaching mode.The ideological elements are integrated into the medical Chinese teaching curriculum,guiding students in acquiring medical Chinese language skills while instilling a spirit of humanistic care and professional ethics inherent in the medical profession.

Data Masking for Chinese Electronic Medical Records with Named Entity Recognition

With the rapid development of information technology,the electronifi-cation of medical records has gradually become a trend.In China,the population base is huge and the supporting medical institutions are numerous,so this reality drives the conversion of paper medical records to electronic medical records.Electronic medical records are the basis for establishing a smart hospital and an important guarantee for achieving medical intelligence,and the massive amount of electronic medical record data is also an important data set for conducting research in the medical field.However,electronic medical records contain a large amount of private patient information,which must be desensitized before they are used as open resources.Therefore,to solve the above problems,data masking for Chinese electronic medical records with named entity recognition is proposed in this paper.Firstly,the text is vectorized to satisfy the required format of the model input.Secondly,since the input sentences may have a long or short length and the relationship between sentences in context is not negligible.To this end,a neural network model for named entity recognition based on bidirectional long short-term memory(BiLSTM)with conditional random fields(CRF)is constructed.Finally,the data masking operation is performed based on the named entity recog-nition results,mainly using regular expression filtering encryption and principal component analysis(PCA)word vector compression and replacement.In addi-tion,comparison experiments with the hidden markov model(HMM)model,LSTM-CRF model,and BiLSTM model are conducted in this paper.The experi-mental results show that the method used in this paper achieves 92.72%Accuracy,92.30%Recall,and 92.51%F1_score,which has higher accuracy compared with other models.

International Transmission of Chinese Medical Culture: Problems and Solutions

International transmission of Chinese medical culture is of great importance for the worldwide spread of traditional Chinese culture, which faces many problems, like the serious impact from western medicine and other traditional medicines, low professional quality of its practitioners, language barriers, etc. It's urgent to propose some practical solutions.

Biofeedback therapy improves motor function following stroke Meta-analysis of 14 articles from Chinese Medical Institutions

OBJECTIVE： To evaluate feasibility of biofeedback therapy in China Medical Institutions to improve dysfunction following stroke. DATA SOURCE： A computer-based online search of publications was conducted using the Vip and PubMed Databases to identify publications that addressed biofeedback. The search key words included ＂electromyogram＂, ＂biofeedback＂, and ＂stroke＂. In total, 81 articles were retrieved. DATA SELECTION： Studies closely related to biofeedback, or studies with contents recently published in the same study field or in authorized journals, were included. Duplicated articles were excluded. Following full-text retrieval of selected articles, a total of 14 articles were collected, which addressed randomized, controlled trials of biofeedback therapy for dysfunction after stroke. Methodological quality was assessed for randomized, controlled trials using criteria from Cochrane reviewers＇ handbook. Results were analyzed using Revman 4.2 software. MAIN OUTCOME MEASURES： Outcomes and evaluation indices were expressed by odds ratio （OR）, weighted mean difference （WMD）, and 95% confidence interval （95% CO. Potential publication bias was presented using the funnel plot. RESULTS： The study included 14 randomized, controlled trials of 1 147 patients. Following biofeedback therapy, meta-analysis results demonstrated that： （1） The total effective rate was significantly greater in the biofeedback therapy group compared with the control group [OR = 3.46, 95% Cl （2.09, 5.73）, P = 0.62]. （2） Electromyogram changes were better in biofeedback therapy patients compared to the control group [WMD= 22.31, 95% C/（17.19, 27.43）, P〈 0.001]. （3） Motor function was better in biofeedback therapy patients compared with the control group [WMD = 12.43, 95% CI （6.71, 18.16）, P 〈 0.001]. （4） Daily living activities were better in biofeedback therapy patients compared with the control group [WMD= 18.11, 95% C/（15.77, 20.44）, P= 0.36]. （5） Joint range of motion was better in biofeedback therapy patients compared with the control group [WMD = 6.43, 95% Cl （4.44, 8.41）, P = 0.77]. Sensitivity analysis also demonstrated similar results after eliminating articles that described unknown diagnostic criteria and statistical methods. CONCLUSION： Following stroke, biofeedback therapy for dysfunction was shown to result in significant and valid outcomes, increased motor function and electromyogram values, improved joint range of motion, and improved daily living activities.

Automatic Keyphrase Extraction from Scientific Chinese Medical Abstracts Based on Character-Level Sequence Labeling

Purpose:Automatic keyphrase extraction(AKE)is an important task for grasping the main points of the text.In this paper,we aim to combine the benefits of sequence labeling formulation and pretrained language model to propose an automatic keyphrase extraction model for Chinese scientific research.Design/methodology/approach:We regard AKE from Chinese text as a character-level sequence labeling task to avoid segmentation errors of Chinese tokenizer and initialize our model with pretrained language model BERT,which was released by Google in 2018.We collect data from Chinese Science Citation Database and construct a large-scale dataset from medical domain,which contains 100,000 abstracts as training set,6,000 abstracts as development set and 3,094 abstracts as test set.We use unsupervised keyphrase extraction methods including term frequency(TF),TF-IDF,TextRank and supervised machine learning methods including Conditional Random Field(CRF),Bidirectional Long Short Term Memory Network(BiLSTM),and BiLSTM-CRF as baselines.Experiments are designed to compare word-level and character-level sequence labeling approaches on supervised machine learning models and BERT-based models.Findings:Compared with character-level BiLSTM-CRF,the best baseline model with F1 score of 50.16%,our character-level sequence labeling model based on BERT obtains F1 score of 59.80%,getting 9.64%absolute improvement.Research limitations:We just consider automatic keyphrase extraction task rather than keyphrase generation task,so only keyphrases that are occurred in the given text can be extracted.In addition,our proposed dataset is not suitable for dealing with nested keyphrases.Practical implications:We make our character-level IOB format dataset of Chinese Automatic Keyphrase Extraction from scientific Chinese medical abstracts(CAKE)publicly available for the benefits of research community,which is available at:https://github.com/possible1402/Dataset-For-Chinese-Medical-Keyphrase-Extraction.Originality/value:By designing comparative experiments,our study demonstrates that character-level formulation is more suitable for Chinese automatic keyphrase extraction task under the general trend of pretrained language models.And our proposed dataset provides a unified method for model evaluation and can promote the development of Chinese automatic keyphrase extraction to some extent.

Chinese medical service and medical education in urgent need of reform in the context of public welfare-based medical reform

After six years＇medical reform,about 7.8 billion person-times of medical service has been achieved by2014,and the number of persons covered by basic medical insurance for urban employees,basic medical insurance for urban residents,and new rural cooperative medical insurance exceeded 1.3 billion,of which the coverage ratio reached as high as over 95%,establishing the largest basic medical security network in the world.

On Standard Nomenclature of Basic Chinese Medical Terms(IV)

ETIOLOGICAL TERMSIn traditional Chinese medicine, etiology is commonly called "cause of disease". The various factors that may cause disease are called "pathogenic factors". In the past they were classified into three categories: "exogenous factors", "endogenous factors", and "non-exo-endogenous factors". In the modern textbooks this tri-causal hypothesis is not so widely used, while a new classification has been developed.

Evaluation of Medical Cost Lost Due to Smoking in Chinese Cities

Smoking induces substantial diseases burden on both individual and the whole society.To identify the true smoking-attributable economic loss, we introduce medical cost accounting as a means to calculate disease-speciflc medical cost, including inpatient and outpatient cost of those diseases caused by smoking. Medical cost is defined as health fesource consumption in terms of money. Cost is allocated to departrpent and services according to coeffcient of benefit and operation time. The study in 1988 indicates that total smoking-attributable medical cost is 2.32 billion RMB Yuan in China, 1.70 billion RMB Yuan for outpatient, 0.62 billion RMB Yuan for inpatient. If indirect cost is included, the cost will be greater. Chronic obstructive emphysema has the highest proportion (55.41%) in smoking attributable medical cost

NUMERICAL INVESTIGATION OF EFFECT OF ROLLING MANIPULATION OF TRADITIONAL CHINESE MEDICAL MASSAGE ON BLOOD FLOW

The hemodynamic mechanism of rolling manipulation (RM) of traditional Chinese medical massage (TCMM) is investigated. An axisymmetrical nonlinear model and an arbitrary Lagrangian-Eulerian finite element method (ALE-FEM) with rezoning algorithm were introduced to study the viscous flow through an axisymmetrical rigid tube with axially moving stenosis to simulate the rolling manipulation. Flow rate and wall shear stress were obtained by solving complete Navier-Stokes equations numerically. The numerical results show that the stenosis moving frequency, namely the frequency of rolling manipulation, has great effect on the disturbance of flow and the wall shear stress. The stenosis coefficient, which characterizes the severity of the stenosis, another adjustable parameter in rolling manipulation, also shows the significant effect on flow rate and wall shear stress. These numerical results may provide some data that can be taken into consideration when massage is used in clinic.

Progresses in Integrated Traditional Chinese and Western Medical Research on Reproductive Immunology

Reproductive immunology is a crossed subject of reproductive biology and immunobiology. Great progresses have been achieved in the subject along with the deep development in life science. Modern reproductive immunology includes immunological regulation of fertility, materno-fetal immuno-regu-lation, and neuro-reproductive endocrino-immune network. With the integrated traditional Chinese and western medicine (ICWM) applied to reproductive immunology it has been greatly enriched in research contents and depth. The present review is to introduce the recent progresses in research of integrated medicine on reproductive immunology.

Chinese medical students’interest in COVID-19 pandemic

BACKGROUND The outbreak of coronavirus disease 2019(COVID-19)happened in early December and it has affected China in more ways than one.The societal response to the pandemic restricted medical students to their homes.Although students cannot learn about COVID-19 through clinical practice,they can still pay attention to news of COVID-19 through various channels.Although,as suggested by previous studies,some medical students have already volunteered to serve during the COVID-19 pandemic,the overall willingness of Chinese medical students to volunteer for such has not been systematically examined.AIM To study Chinese medical students’interest in the relevant knowledge on COVID-19 and what roles they want to play in the pandemic.METHODS Medical students at Peking Union Medical College were surveyed via a webbased questionnaire to obtain data on the extent of interest in the relevant knowledge on COVID-19,attitude towards volunteerism in the pandemic,and career preference.Logistic regression modeling was used to investigate possible factors that could encourage volunteerism among this group in a pandemic.RESULTS A total of 552 medical students responded.Most medical students showed a huge interest in COVID-19.The extent of students’interest in COVID-19 varied among different student-classes(P<0.05).Senior students had higher scores than the other two classes.The number of people who were‘glad to volunteer’in COVID-19 represented 85.6%of the respondents.What these students expressed willingness to undertake involved direct,indirect,and administrative job activities.Logistic regression analysis identified two factors that negatively influenced volunteering in the pandemic:Student-class and hazards of the voluntary job.Factors that positively influenced volunteering were time to watch COVID-19 news,predictable impact on China,and moral responsibility.CONCLUSION More innovative methods can be explored to increase Chinese medical students’interest in reading about the relevant knowledge on COVID-19 and doing voluntary jobs during the pandemic.

On Standard Nomenclature of Basic Chinese Medical Terms(Ⅲ B)

Blood in Western medicine and血〔xue〕inTCM refer to the same substance,but some writ-ers insisted the use of xue or hsueh for TCM be-cause the latter’s knowledge about blood is differ-

SUBJECT INDEX CHINESE MEDICAL SCIENCES JOURNAL Volume 22,2007

Acute myocardial infarction Inferior-septal Myocardial Infarction Misdiagnosed as Anterior-septal Myocardial Infarction:Electrocardiographic,Scintigraphic,and Angiographic