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Objective:To summarize the clinical researches of Wumei Pill and provide reference for clinical application and follow-up research.Methods:The databases CNKI, VIP, Wanfang, CBM, PubMed, Embase were retrieved from the inception to June 30,2022. CiteSpace 6.1.R3 software was used to analyze the research hotspots and keywords in the literature. Using EndNote X9 software and Microsoft Office Excel 2013, we recorded and analyzed the published year, literature type, affiliated journal, disease treated, TCM syndrome type, single drug dose and treatment duration of the included articles.Results:212 articles were included. Diarrhea, gastritis, diabetes, insomnia were the research hotspots. The types of diseases treated by Wumei Pill mainly include digestive system, endocrine system and tumor, mainly for cold-heat syndrome and Jueyin syndrome. The average dosage of Mume Fructus was the largest, 21 g. The average treatment time was 5.78 weeks. Conclusion:At present, the overall clinical research of Wumei pill shows an increasing tendency, mainly involving gastrointestinal disease.
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Objective:Applying bibliometrics to analyze the research history, hotspots and trends of Traditional Chinese Medicine (TCM) interventions in edema-related diseases, and to provide reference for the revision of diagnostic and therapeutic criteria for edema in TCM.Methods:The literature about edema treated with TCM was retrieved from CNKI, Wanfang, VIP, CBM from 1 st. Jan 1995 to 25 th. May 2022. CiteSpace and VOSviewer softwares were used to draw the knowledge map, and analyze the co-occurrence relationship and clustering characteristics of the institution, author, keywords and mechanism hotspots. Results:Totally 3 198 articles were included. The annual number of documents issued generally shows a spiral rise trend. Liaoning University of Chinese Medicine published the most articles. Core authors published the most articles were Sun Wei (13 articles); the team with the highest cooperation intensity was Yang Hongtao's team; keywords formed 7 clusters. Hotspot mechanisms included metabolic disorders, immune balance, anti-inflammation, calcium and phosphorus metabolism. Keywords in the past 7 years were membranous nephropathy, chronic heart failure, diabetes, lymphedema etc.Conclusions:The attention paid to the intervention of TCM in the field of edema is generally on the rise, and has decreased in the past two years. The research categories focus on the experience of famous doctors, clinical trials, and mechanistic studies, and nephropathy-related edema has been the focus of research; diabetic nephropathy, chronic heart failure, metabolomics, and immunotherapy are expected to be the focus of attention in the next stage.
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RESUMEN Objetivos. Explorar la alineación del contenido de los artículos publicados por la Revista Panamericana de Salud Pública durante sus 100 años de existencia, con los temas sanitarios claves de la Organización Panamericana de la Salud (OPS). Métodos. Se llevó a cabo un análisis bibliométrico con visualización de sus resultados. Se recuperó la información sobre los artículos publicados en la Revista a partir del Repositorio Institucional para Intercambio de Información (IRIS) de la OPS para los primeros 75 años y de Scopus para los últimos 25 años hasta febrero del 2022; para establecer los temas claves de la OPS se usaron referencias a documentos de los Cuerpos Directivos y declaraciones de los directores. Resultados. Se obtuvieron inicialmente 12 573 publicaciones y se consideraron para el análisis 9 289 para el período 1922 a 1996 y 3 208 para el período 1997 a 2022. Para el análisis bibliométrico de la información de Scopus se tuvieron en cuenta indicadores como los autores y su procedencia, el idioma de las publicaciones, y el número y la procedencia de las citas. Para las visualizaciones, se dividieron las publicaciones en cinco períodos a fin de que estos coincidieran con los períodos establecidos para el análisis de los temas prioritarios de la OPS. Se realizaron mapas de coocurrencia de palabras claves para observar la evolución de los temas de las publicaciones y relacionarlos con los enfoques de la salud pública en cada período. Conclusión. Las temáticas publicadas en la Revista Panamericana de Salud Pública y sus boletines precursores reflejan la historia de la salud pública regional y su evolución a lo largo del tiempo, así como los temas sanitarios claves de la Organización Panamericana de la Salud.
ABSTRACT Objectives. Explore how the content of the articles published by the Pan American Journal of Public Health during its 100 years of existence has aligned with the key health issues of the Pan American Health Organization (PAHO). Methods. A bibliometric analysis was carried out, with visualization of its results. Information on articles published in the Journal was retrieved from PAHO's Institutional Repository for Information Sharing (IRIS) for the first 75 years and Scopus for the last 25 years, until February 2022; References to Governing Bodies documents and statements by the directors were used to establish PAHO's key themes. Results. Initially, 12 573 publications were obtained and 9 289 were considered for analysis for the period 1922 to 1996, and 3 208 for the period 1997 to 2022. For the bibliometric analysis of the Scopus information, indicators such as the authors and their origin, language of publication, and number and origin of citations were considered. For the visualizations, publications were divided into five periods so that they coincided with the periods established for the analysis of PAHO's priority themes. Keyword co-occurrence maps were made to observe the evolution of published topics and relate them to public health approaches in each period. Conclusion. The topics published in the Pan American Journal of Public Health and its precursor bulletins reflect the history of regional public health and its evolution over time, as well as the key health issues of the Pan American Health Organization.
RESUMO Objetivos. Explorar o alinhamento do conteúdo dos artigos publicados na Revista Pan-Americana de Saúde Pública em seus 100 anos de existência com os principais temas de saúde da Organização Pan-Americana da Saúde (OPAS). Métodos. Fez-se uma análise bibliométrica com visualização de seus resultados. Informações sobre os artigos publicados na revista foram recuperadas do Repositório Institucional para o Intercâmbio de Informações (IRIS, na sigla em inglês) da OPAS para os primeiros 75 anos, e da base de dados Scopus para os últimos 25 anos, até fevereiro de 2022. Para estabelecer os principais temas da OPAS, foram usadas referências a documentos dos órgãos diretores e declarações dos diretores. Resultados. Inicialmente, foram obtidas 12 573 publicações - 9 289 foram consideradas na análise para o período de 1922 a 1996, e 3 208 para o período de 1997 a 2022. Para a análise bibliométrica das informações da Scopus, foram levados em consideração indicadores como os autores e sua procedência, o idioma das publicações e o número e a procedência das citações. Para as visualizações, as publicações foram divididas em cinco períodos para que coincidissem com os períodos estabelecidos para a análise dos temas prioritários da OPAS. Mapeou-se a co-ocorrência de palavras-chave para observar a evolução dos temas das publicações e para relacioná-los com os enfoques de saúde pública em cada período. Conclusão. Os temas publicados na Revista Pan-Americana de Saúde Pública e nos boletins que a antecederam refletem o histórico da saúde pública regional e sua evolução ao longo do tempo, bem como os principais temas de saúde da Organização Pan-Americana da Saúde.
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Objective:To analyze the current development status, research hot-spots and development trends of county-level Chinese hospitals in China.Methods:By retrieving the papers of county-level Traditional Chinese Medicine (TCM) hospitals in China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodicals Full-text Database (VIP), Wanfang and China Biomedical Database (SinoMed ) with CiteSpace 5.5.R2 software to draw maps of the author, institution and keyword and make analysis.Results:A total of 598 papers are included in this study, and the trend of publications shows an upward trend and then a downward trend. Researchers conduct research in the form of forming research teams. The research institutions are mainly medical colleges and scientific research institutions. The most frequently showed keyword is "medical reform". The keyword knowledge map shows that the research content mainly involves medical reform, problem analysis and countermeasures, economic operation efficiency, TCM service capability, data envelopment analysis and so on.Conclusions:The county-level TCM hospitals generally show sound development trend in China. The research trend is dominated by county-level TCM hospitals. Scale development has been transformed into the study of hospital operation efficiency. County-level TCM hospitals need to start from their own actual conditions, strengthen cooperation in the form of teams and strengthen academic cooperation among institutions, so as to realize the basic TCM services for ordinary people.
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Objective:To reveal the research focus of doctoral dissertation of China Academy of Chinese Medical Sciences by information visualization.Methods:Based on the relevant documents from January 1st, 2008 to December 31st, 2018 retrieved by CNKI, through the methods of CiteSpace high-frequency word visualization analysis and co word clustering, the research focus was explored in three time segments, and comparative analysis was carried out.Results:A total of 1 918 literatures were included. The methodology research based on Traditional Chinese Medicine (TCM) syndromes, the application research of data mining technology, and the clinical research of TCM were identified by knowledge atlas as the research hotspots of academic dissertation of China Academy of Chinese Medical Sciences from 2008 to 2018, with good continuity. The disease types of related researcheswere close to the clinical frontier, and the continuity of syndrome and treatment research of coronary heart disease were poor. The number of basic researches represented by TCM syndrome were always lower than that of clinical research. The diagnosis and treatment mode and modern research methods based on the combination of disease and syndrome and the combination of traditional Chinese and Western medicine were gradually deepening in the field of TCM.Conclusions:Interdisciplinary research is a hot topic in the dissertation research of the China Academy of Chinese Medical Sciences. The use of information visualization tools can provide reference for scientific and in-depth exploration of the research direction of TCM.
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OBJECTIVES: In this paper, we present an efficient method to visualize computed tomography (CT) datasets using ambient occlusion, which is a global illumination technique that adds depth cues to the output image. We can change the transfer function (TF) for volume rendering and generate output images in real time. METHODS: In preprocessing, the mean and standard deviation of each local vicinity are calculated. During rendering, the ambient light intensity is calculated. The calculation is accelerated on the assumption that the CT value of the local vicinity of each point follows the normal distribution. We approximate complex TF forms with a smaller number of connected line segments to achieve additional acceleration. Ambient occlusion is combined with the existing local illumination technique to produce images with depth in real time. RESULTS: We tested the proposed method on various CT datasets using hand-drawn TFs. The proposed method enabled real-time rendering that was approximately 40 times faster than the previous method. As a result of comparing the output image quality with that of the conventional method, the average signal-to-noise ratio was approximately 40 dB, and the image quality did not significantly deteriorate. CONCLUSIONS: When rendering CT images with various TFs, the proposed method generated depth-sensing images in real time.
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Acceleration , Computer Systems , Cues , Dataset , Lighting , Mathematical Computing , Methods , Signal-To-Noise RatioABSTRACT
OBJECTIVES: Human motion analysis can be applied to the diagnosis of musculoskeletal diseases, rehabilitation therapies, fall detection, and estimation of energy expenditure. To analyze human motion with micro-Doppler signatures measured by radar, a deep learning algorithm is one of the most effective approaches. Because deep learning requires a large data set, the high cost involved in measuring large amounts of human data is an intrinsic problem. The objective of this study is to augment human motion micro-Doppler data employing generative adversarial networks (GANs) to improve the accuracy of human motion classification. METHODS: To test data augmentation provided by GANs, authentic data for 7 human activities were collected using micro-Doppler radar. Each motion yielded 144 data samples. Software including GPU driver, CUDA library, cuDNN library, and Anaconda were installed to train the GANs. Keras-GPU, SciPy, Pillow, OpenCV, Matplotlib, and Git were used to create an Anaconda environment. The data produced by GANs were saved every 300 epochs, and the training was stopped at 3,000 epochs. The images generated from each epoch were evaluated, and the best images were selected. RESULTS: Each data set of the micro-Doppler signatures, consisting of 144 data samples, was augmented to produce 1,472 synthesized spectrograms of 64 × 64. Using the augmented spectrograms, the deep neural network was trained, increasing the accuracy of human motion classification. CONCLUSIONS: Data augmentation to increase the amount of training data was successfully conducted through the use of GANs. Thus, augmented micro-Doppler data can contribute to improving the accuracy of human motion recognition.
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Humans , Boidae , Classification , Dataset , Diagnosis , Energy Metabolism , Human Activities , Learning , Motion Perception , Musculoskeletal Diseases , Rehabilitation , Supervised Machine LearningABSTRACT
Statistical graph, as a useful tool of data visualization, plays a crucial role in the statistical description. This paper mainly introduces several common statistical charts, their characteristics, practical examples and so on for frequency distribution, including qualitative variable and quantitative variable, in order to provide application reference for readers.
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AbstractIntroduction: This paper aims to develop a data warehouse (AD-SISCOLO) in order to support the management of the cervical cancer screening program in the municipality of Rio de Janeiro/Brazil. As a part of the management process, the program managers of the municipality perform tedious manual work in order to calculate a series of performance indicators and then take decisions based on them. Methods AD-SISCOLO was implemented using the Pentaho BI Suite Business Intelligence Platform and the MySQL database management system. The indicators to be calculated and visualized in the tool were based on the municipal data of the cytopathology and histopathology tests from January 2012 until December 2014, which was obtained from the Information System of Cervical Cancer (SISCOLO) after a record linkage process. The follow-up indicators were based on a simplified version of the Brazilian guidelines for the cervical cancer screening. Results AD-SISCOLO allows the visualization of a set of test-based and follow-up indicators from different views and dimensions, which enable managers to monitor all the phases of the screening process and to identify the process' failures. Conclusions Compared with the current available environments in Brazil, AD-SISCOLO is unique in its visualization of the follow-up indicators of groups of women, according to their test results and age. Thereby it provides presentation flexibility to suit the program manager's needs.
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Data are usually collected in a raw format and thus the inherent information is difficult to understand. Therefore, raw data need to be summarized, processed, and analyzed. However, no matter how well manipulated, the information derived from the raw data should be presented in an effective format, otherwise, it would be a great loss for both authors and readers. In this article, the techniques of data and information presentation in textual, tabular, and graphical forms are introduced. Text is the principal method for explaining findings, outlining trends, and providing contextual information. A table is best suited for representing individual information and represents both quantitative and qualitative information. A graph is a very effective visual tool as it displays data at a glance, facilitates comparison, and can reveal trends and relationships within the data such as changes over time, frequency distribution, and correlation or relative share of a whole. Text, tables, and graphs for data and information presentation are very powerful communication tools. They can make an article easy to understand, attract and sustain the interest of readers, and efficiently present large amounts of complex information. Moreover, as journal editors and reviewers glance at these presentations before reading the whole article, their importance cannot be ignored.
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MethodsABSTRACT
The World Health Organization’s Regional Office for the Western Pacific has developed an interactive online influenza platform linking data from National Influenza Centres and Influenza Surveillance in the Western Pacific Region. This platform for regional monitoring of influenza enhances the accessibility of data and information for international and national authorities.
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El manejo clínico y epidemiológico de los pacientes con fibrosis quística (FQ) con exacerbaciones pulmonares agudas o infecciones pulmonares crónicas demanda una actualización permanente de procedimientos médicos y microbiológicos, estos se asocian con la constante evolución de los agentes patógenos durante la colonización de su hospedador. Para poder monitorear la dinámica de estos procesos es fundamental disponer de sistemas expertos que permitan almacenar, extraer y utilizar la información generada a partir de estudios realizados sobre el paciente y los microorganismos aislados de aquel. En este trabajo hemos diseñado y desarrollado una base de datos on-line basada en un sistema informático que permite el almacenamiento, el manejo y la visualización de la información proveniente de estudios clínicos y de análisis microbiológicos de bacterias obtenidas del tracto respiratorio del paciente con FQ. Este sistema informático fue designado como Cystic Fibrosis Cloud database (CFC database) y está disponible en el sitio http://servoy.infocomsa.com/cfc_database. Está compuesto por una base de datos principal y una interfaz on-line, la cual emplea la arquitectura de productos Servoy basada en tecnología Java. Si bien el sistema CFC database puede ser implementado como un programa local de uso privado en los centros de asistencia a pacientes con FQ, admite también la posibilidad de ser empleado, actualizado y compartido por diferentes usuarios, quienes pueden acceder a la información almacenada de manera ordenada, práctica y segura. La implementación del CFC database podría tener una gran impacto en la monitorización de las infecciones respiratorias, la prevención de exacerbaciones, la detección de organismos emergentes y la adecuación de las estrategias de control de infecciones pulmonares en pacientes con FQ
The epidemiological and clinical management of cystic fibrosis (CF) patients suffering from acute pulmonary exacerbations or chronic lung infections demands continuous updating of medical and microbiological processes associated with the constant evolution of pathogens during host colonization. In order to monitor the dynamics of these processes, it is essential to have expert systems capable of storing and subsequently extracting the information generated from different studies of the patients and microorganisms isolated from them. In this work we have designed and developed an on-line database based on an information system that allows to store, manage and visualize data from clinical studies and microbiological analysis of bacteria obtained from the respiratory tract of patients suffering from cystic fibrosis. The information system, named Cystic Fibrosis Cloud database is available on the http://servoy.infocomsa.com/cfc_database site and is composed of a main database and a web-based interface, which uses Servoy's product architecture based on Java technology. Although the CFC database system can be implemented as a local program for private use in CF centers, it can also be used, updated and shared by different users who can access the stored information in a systematic, practical and safe manner. The implementation of the CFC database could have a significant impact on the monitoring of respiratory infections, the prevention of exacerbations, the detection of emerging organisms, and the adequacy of control strategies for lung infections in CF patients
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Information Storage and Retrieval/methods , Cystic Fibrosis/physiopathology , Cystic Fibrosis/microbiology , Data Visualization , Database , Data Management/organization & administration , Monitoring, Physiologic/methodsABSTRACT
Objective To research and develop the mobile platform-oriented echocardiogram data visualization technology for the evaluation of left ventricular diastolic function,and investigate its application value.Methods First,diagnostic algorithms for the evaluation of left ventricular diastolic function (based on recommendations from ASE & EAE guidelines) were programmed into a mobile application software package,using Adobe Flex builder 4.0 as a basic tool for data visualization.Second,the program was installed in the Apple iPad4 tablet computer,then debugged and improved according to feedback information from practical applications.Results The echocardiogram data visualization for the estimation of left ventricular filling pressures in patients with depressed ejection fraction(EF) or normal EF and grading diastolic function can be implemented in mobile platform device,and simultaneously with emergency bedside echocardiography.The evaluation process can be visually presented by using the graphics to show the algorithm framework,the animation to express the analysis step,the axis to indicate the direction of information,and the color to differentiate the degree of the diastolic dysfunction.Conclusions The mobile platform-oriented echocardiogram data visualization technology makes the evaluation of left ventricular diastolic function more convenient,efficient and fast,and shows its potential to become an important adjunct to evaluation of cardiac function in the context of mobile health.