The rapid development of medical informatization and continuous innovation of artificial intelligence have made it possible to analyze data and predict prognosis through making full use of data analysis or data mining methods in medical field, which can provide not only more accurate basis of diagnosis and treatment for patients but also important decision-making reference for the government and hospitals to allocate medical resources reasonably. As a classical model for processing time series data in machine learning, long short-term memory network can break through some limitations of statistics to process large and complex medical data. The current applications of long short-term memory networks in medical and biomedical fields can be mainly summarized as seven themes, including natural language processing, biomedical information, signals, motion, clinical medical records, hospital management, and public health and policy.
Objective By analyzing the data of medicine use in a temporary trauma center, which set up by the national emergency medical team of General Hospital of Chengdu Military Region right after the 2015 Nepal earthquake in Kathmandu, to provide reference for the development of medicine emergency plan. Methods All 103 drugs (specifications) are divided into five categories: topical drugs, oral drugs, injectable drugs, drug use in the operating room, disinfectants and infusion. Sorting patient drug consumption, in order to determine whether the drug carries reasonable. Results Within 18 days, 267 patients received treatment, in which 132 patients received debridement, 71 patients were hospitalized, and 35 fractures underwent orthopedic surgery. All of the medicines shipped from China with the medical team, only one exception. Twenty drugs' consumption rates reached 100%, 37 drugs' consumption rates were more than 70%, 60 drugs' consumption rates were more than 50%, only 10 drugs’ consumption rates were zero. Conclusion Before the rescue mission, the preparation of medicine is reasonable. The basic composition of medicine emergency plan should be based on the different rescue mission. And do some adjustments according to the local climate and natural environment.
In the new era of development, countries in the world have realized the importance of cultivating interdisciplinary and innovative talents, and China is also paying more and more attention to the cultivation of medicine-engineering talents. Compared with the cultivation of single discipline postgraduates, the cultivation of medicine-engineering postgraduates involves effective integration of multiple disciplines, and its cultivation difficulty is greater. At present, China is still in the exploration stage of the medicine-engineering postgraduates training model. Therefore, this article intends to summarize the relatively mature and advanced medicine-engineering postgraduates training models at home and abroad, and extract experiences that are in line with China’s actual development, providing some suggestions for the establishment of postgraduates training systems of medicine-engineering interdisciplinary in China.
Traditional Chinese Medicine (TCM) standardization is an important carrier for TCM inheriting and innovating. As an important content of TCM standardization system, TCM clinical practice guidelines' designation and revision play an important role for medical staff to regulate medical behavior, and improve the quality of health services. This paper expounds the significance and function of the TCM guidelines, analyzes the present situation, opportunities and challenges, and puts forward the strategies and suggestions to promote the development of evidence-based TCM guidelines.
ObjectiveTo provide method references for data visualization of multiple linear regression analysis.MethodsAfter importing data to R Studio, this paper conducted general descriptive statistics analysis, then constructed a linear model between independent variables and the target. After checking independence of observations, the normality of the target, and the linearity between variables, this paper estimated coefficients of independent variables, dealt with multicollinearity, tested significance of estimates and performed residual analysis to guarantee that the regression met its assumptions, and eventually used the fitted model for prediction.ResultsThe multiple linear regression analysis implemented by R Studio software had better visualization functions and easier operation than traditional R language software.ConclusionsR Studio software has good application value in realizing multiple linear regression analysis data visualization.
After 38 years of development, the procedure of selection and evaluation of the World Health Organization Essential Medicine List (WHO EML) is increasingly scientific and formal. However, peer review for the applications of WHO EML is always required in a short period. It is necessary to build up a set of methods and processes for rapid review. The most important items for the rapid review of WHO EML peer reviewers are: 1) to confirm the requirements and identify the purposes; 2) to establish the research questions and translate the questions into the ‘Participants, Interventions, Comparators, Outcomes, Study design' (PICOS) format; 3) to search and screen available evidence, for which high-level evidence is preferred, such as systematic reviews or meta-analyses, health technology assessment (HTA), clinical guidelines; 4) to extract data, where we extract primary information based on the purposes; 5) to synthesize data by qualitative methods, assess the quality of evidence, and compare the results; 6) to provide the answers to the applications, quality of evidences and strength of recommendations. Our study established a set of methods and processes for the rapid review of WHO EML peer review, and our findings were used to guide the reviewers to fulfill the 19th WHO EML peer review. The methods and processes were feasible and met the necessary requirements in terms of time and quality. Continuous improvement and evaluation in practice are warranted.
Objective To assess the methodological quality of systematic reviews or meta-analyses of intervention published in the Chinese Journal of Evidence-Based Medicine, so as to provide evidence for improving the domestic methodological quality. Methods The systematic reviews or meta-analyses of intervention published from 2001 to 2011 were identified by searching the Chinese Journal of Evidence-Based Medicine. The methodological quality of included studies was assessed by AMSTAR scale. The Excel software was used to input data, and Mata-Analyst software was used to conduct statistical analysis. Results A total of 379 studies were included. The average score of AMSTAR was 6.15±1.35 (1.5-9.5 point). Just some items of AMSTAR scale were influenced by the following features of included studies: publication date, funded or not, number of author, author’s unit, and number of author’s unit. The total AMSTAR score of studies published after 2008 was higher than those published before 2008 (P=0.02), but the improvement of methodological quality was limited. While the total AMSTAR score of studies published by 3 or more than 3 authors were higher than those published by 2 or less than 2 authors (P=0.04). Conclusion The methodological quality of the included studies published in the Chinese Journal of Evidence-Based Pediatrics is uneven. Although the methodological quality improves somewhat after the publication of AMSTAR scale, there is no big progress, so it still needs to be further improved.
Objective To analyze the hot topics and trends of medical research integrity in China and to provide references for future studies. Methods The CNKI, WanFang Data and VIP databases were searched from inception to December 2021. Data on the number of publications, journals, institutions, authors, keywords, and emergent themes were analyzed using bibliometric methods and CiteSpace software. Results A total of 324 studies were included. The results showed that the number of publications increased annually, and "Chinese Journal of Medical Science Research Management" and Peking University were the journal and institution with the most publications, respectively. The three most prolific authors published five studies each, and the publications were mainly concerned with identifying and preventing issues, in addition to education regarding medical research integrity. Conclusion Medical research integrity in China has attracted significant attention. Several leading journals in this research field have emerged; however, there is no clearly dominant research team. The depth and breadth of the research remain to be improved. It is suggested that researchers focus on the effectiveness of strategies for preventing issues, promoting the establishment of the lifelong education system and improving related rules and regulations to advance the development of medical research integrity in China.