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Acta de Otorrinolaringología Cir. Cabeza cuello. ; 50(1): 36-44, 2022. ilus, tab, graf
Article in Spanish | LILACS, COLNAL | ID: biblio-1363378


Introducción: en el campo de la salud, cada decisión representa datos, y las técnicas de minería de datos han empezado a ser una metodología prometedora para el análisis de esta información, especialmente en el diseño de los modelos predictivos. Métodos: estudio observacional analítico de pacientes mayores de 15 años, con reporte de punción de aspiración con aguja fina con estudio Bethesda IV, sometidos a manejo quirúrgico en el Hospital de San José de Bogotá. Los datos recogidos de los pacientes se incluyeron en tres grupos: la información sociodemográfica y clínica, los hallazgos en la citología y los reportes de la ecografía. Se realizó el análisis mediante Naive-Bayes, árbol de decisión y redes neuronales. Se usó la herramienta Weka versión 3.8.2. Resultados: de los 427 pacientes, 195 tuvieron resultados de patología de carcinoma de tiroides (45,6 %). Se evidenciaron mejores resultados usando la validación cruzada (10 fold) comparado con partición (66 %), la técnica de Bayes tuvo mejores resultados de clasificación correcta (91,1 %), comparado con la técnica de árbol (87,8 %) y la red neuronal (88,2 %). Conclusiones: el uso de la técnica de Naive Bayes muestra una importante exactitud para determinar la predicción de riesgo de malignidad en los pacientes con estudio citológico Bethesda IV, lo cual permitiría orientar de forma adecuada el manejo quirúrgico de los pacientes

Introduction: In the health field, each decision represents data, and data mining techniques have begun to be a promising methodology for the analysis of this information, especially in the design of predictive models. Methods: Analytical observational study; patients older than 15 years with a report of Bethesda IV after a fine needle aspiration biopsy that undergoing surgical management at the Hospital de San José in Bogotá. The data collected from those patients were included in three groups: sociodemographic-clinical information, cytology findings, and ultrasound reports. Analysis was performed using three technics: Naive Bayes, decision trees, and neural networks. Weka tool version 3.8.2 was used. Results: 195 patients out of 427, had a thyroid carcinoma pathology (45.6%). Better results were evidenced using cross-validation (10 fold) compared with a partition (66%), the Bayes technique had better results of correct classification (91.1%), than the tree technique (87.8%) and neural network (88.2%). Conclusions: The use of the Naive Bayes technique shows an important accuracy to determine the prediction of risk of malignancy in patients with a Bethesda IV cytological study, which would allow an adequate guide to the surgical management of patients.

Humans , Data Mining
Medicina (B.Aires) ; 81(2): 214-223, June 2021. graf
Article in Spanish | LILACS | ID: biblio-1287273


Resumen En el presente trabajo utilizamos la minería de texto como herramienta de tratamiento de una gran base de datos científica, con el objetivo de obtener nueva información de todas las publicaciones firmadas por autores argentinos e indexadas hasta 2019 en el área de las ciencias de la vida. Se analizaron más de 75 000 artículos, publicados en alrededor de 5000 medios, firmados por cerca de 186 000 autores con lugar de trabajo en la Argentina o en colaboraciones con laboratorios argentinos. Mediante herramientas automatizadas, que fueron desarrolladas ad hoc, se analizó el texto de alrededor de 70 800 resúmenes y se buscaron, mediante detección digital no supervisada, los principales temas abordados, su relación con problemáticas de salud en la Argentina y su tratamiento. Se presentan, además, resultados del número de publicaciones por año, las revistas que las publicaron, y sobre sus autores y colaboraciones. Estos resultados, junto con las predicciones que se obtuvieron, podrían constituirse en una herramienta útil para optimizar el manejo de recursos dedicados a la investigación básica y clínica.

Abstract In the present work we use text mining as a treatment tool for a large scientific database, with the aim of obtaining new information about all the publications signed by Argentine authors and indexed until 2019, in the area of life sciences. More than 75 000 articles were analysed, published in around 5000 media, signed by about 186 000 authors with a workplace in Argentina or in collaborations with Argentine laboratories. Using automated tools that were developed ad hoc, the text of around 70 800 abstracts was analysed, seeking, through non-supervised digital detection, the main topics addressed by the authors, and the relationship with health problems in Argentina and their treat ment. Results are also presented regarding the number of publications per year, the journals that have published them, and their authors and collaborations. These results, together with the predictions that were obtained, could become a useful tool to optimize the management of resources dedicated to basic and clinical research.

Humans , Data Mining , Argentina
Article in English | WPRIM | ID: wpr-922100


OBJECTIVE@#To screen the key Chinese Herbal Medicines (KCHMs) against breast cancer by data mining, and analyze the potential mechanism of KCHMs using network pharmacology method.@*METHODS@#Clinical prescriptions consisted of CHMs for treating breast cancer were screened, and then Traditional Chinese Medicine Inheritance Support System (TCMISS) was applied to obtain the KCHMs. Subsequently, active ingredients and corresponding target genes of KCHMs were searched by Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP) database, and target genes of breast cancer were collected using OMIM and MalaCards. After that, the overlapping target genes of KCHMs and breast cancer were screened, and the protein-protein interaction (PPI) network was built. In addition, a network of "KCHMs-active ingredients-breast cancer-targets" was constructed by Cytoscape 3.7.1. Finally, Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Ontology (GO) analysis were performed with Database for Annotation, Visualization and Integrated Discovery (DAVID) database to reveal the action mechanism of KCHMs.@*RESULTS@#A total of 7 KCHMs were identified, whose active ingredients include quercetin, luteolin, nobiletin, kaempferol, isorhamnetin, naringenin, and be-ta-sitosterol, etc. Based on protein-protein interaction analysis, core targets were ESR1, MYC, CCND1, EGFR, CASP3, ERBB2, etc. Several KEGG pathways (e.g, PI3K-Akt, p53, ErbB, and HIF-1 signaling pathways) were found.@*CONCLUSION@#Based on the combination of the data mining method and network pharmacology approach, the therapeutic effect of KCHMs on breast cancer may be realized by acting on target genes and signaling pathways related to the formation and progression of breast cancer.

Breast Neoplasms/genetics , Data Mining , Drugs, Chinese Herbal/therapeutic use , Female , Humans , Medicine, Chinese Traditional , Phosphatidylinositol 3-Kinases
Article in Chinese | WPRIM | ID: wpr-921815


Ophiopogonis Radix is an important Yin-nourishing drug in traditional Chinese medicine(TCM), with the effects of nourishing Yin, promoting fluid production, clearing away heart-fire, and relieving restlessness. It is widely used in clinical practice due to its multiple chemical components and pharmacological effects. The technique "mapping knowledge domains" is an effective tool to quantitatively and objectively visualize the development frontiers and trends of certain disciplines. In this study, TCM research papers related to Ophiopogonis Radix were retrieved from Web of Science(WoS) and CNKI, and the research institutions, journals, and keywords involved were visualized and analyzed using the scientometric software CiteSpace. The co-occurrence network of related research on Ophiopogonis Radix was constructed, and the Ophiopogonis Radix-disease-target network was plotted using Cytoscape 3.8.2. The hot topics in Chinese and English papers were analyzed and the shortcomings in the research on Ophiopogonis Radix were summed up. Furthermore, the development trends were discussed. A total of 1 403 Chinese papers and 292 English papers were included in this study. The analysis of research institutions showed that Beijing University of Chinese Medicine and China Pharmaceutical University were the two research institutions with the largest numbers of papers published. The analysis of journals showed that Hebei Journal of Traditional Chinese Medicine and Journal of Asian Natural Products Research were the two journals with the highest numbers of papers concerning Ophiopogonis Radix. The keyword analysis showed that the research contents of Chinese papers focused on the analysis of medication regularity and clinical observation trials, while the English papers focused on component analysis and pharmacological investigation. Data mining and apoptosis-based pharmacological mechanism might be the research trends in the future.

China , Data Mining , Humans , Medicine, Chinese Traditional , Plant Roots , Publications
Article in Chinese | WPRIM | ID: wpr-921727


The safety of modern Chinese medicine has attracted increasing attention from society. Experts and scholars have carried out extensive in-depth research on the safety of commonly used Chinese medicines from various aspects such as safety monitoring, clinical research, and experimental analysis. The findings in the safety performance of Chinese medicines can inspire the mining and analysis of relevant signals in the drug safety alerts. A variety of methods are employed for the mining of risk signals or analysis and screening of relevant signals to accurately determine the correlation between medication and adverse reactions. The safety signal acquisition and mining techniques are the technical basis for the safety risk management of medicine products after Chinese medicines are marketed, which is critical in drug safety alerts. To accurately collect the safety signals of Chinese medicines and effectively and rapidly track, determine, and assess the sources of signals are important technical links in drug risk management. The ultimate purpose of safety signal discovery is to achieve normalized risk management through downgrading drugs from a high-risk level to a low-risk level.The five main steps in the standard drug risk management are listed below: to extensively collect predicted risk signals; to accurately identify drug risks by the techniques such as data mining; to evaluate the risks with process-based quality risk control; to employ management measures minimizing the impact of drug risks for risk management; to update and apply risk assessment to clinical evaluation after medication.

Data Mining , Drug-Related Side Effects and Adverse Reactions/prevention & control , Drugs, Chinese Herbal/adverse effects , Humans , Medicine, Chinese Traditional , Quality Control
Article in Chinese | WPRIM | ID: wpr-921667


Data mining is an important method to obtain the key information from a large amount of data, and it is widely applied in the research on the modernization of traditional Chinese medicine(TCM). The compatibility law of herbs is a key issue in the research of TCM prescriptions. This reflects the flexibility and effectiveness of TCM prescriptions, and it is also a crucial link to the development of TCM modernization. Therefore, it is the core purpose of the research on TCM prescriptions to find the compatibility law of herbs and clarify the scientific connotation. Data mining, as an effective method and an important approach, has formed a standardized system in the research of compatibility law of herbs, which can reveal the relationship between different Chinese herbs and summarize the internal rules in compatibility. Two hundred and twenty two effective papers were sorted out and categorized in this article. The results showed that data mining was mainly applied in finding the core Chinese herb pairs, summarizing the utility and attributes of TCM prescriptions, revealing the relationship between prescriptions, Chinese herbs and syndromes, finding the optimal dose of Chinese herbs, and producing the new prescriptions. The problems of data mining in research of herbs compatibility rules were summarized, and its development and trend in current researches were discussed in this article to provide useful references for the in-depth study of data mining in the compatibility law of Chinese herbs.

Data Mining , Drugs, Chinese Herbal , Humans , Medicine, Chinese Traditional , Prescriptions , Syndrome
Chinese Acupuncture & Moxibustion ; (12): 1399-1403, 2021.
Article in Chinese | WPRIM | ID: wpr-921065


OBJECTIVE@#To explore the characteristics and rule of clinical acupoint selection in treatment of acute exacerbation of chronic obstructive pulmonary disease (AECOPD).@*METHODS@#The clinical articles of acupuncture in treatment of AECOPD were retrieved from the databases of PubMed, EMbase, Cochrane Library, Web of Science, CNKI, Wanfang, VIP and SinoMed, from the date of establishment to July 15, 2020. The articles were screened in accordance with the inclusion and exclusion criteria, the prescriptions of acupuncture and the relevant information of the acupoints and meridians were extracted to establish the database. The data mining methods i.e. Apriori association rule analysis and cluster analysis were used to analyse the using frequency, involving meridians, acupoint distributions, association rules and cluster of selected acupoints.@*RESULTS@#A total of 54 articles were included, 67 acupuncture prescriptions were extracted, 69 acupoints were involved and the total using frequency was 475 times. The top 5 acupoints in frequency were Danzhong (CV 17), Feishu (BL 13), Zusanli (ST 36), Fenglong (ST 40) and Dingchuan (EX-B1). The main involved meridians were bladder meridian of foot-@*CONCLUSION@#The local acupoints and acupoints along meridians are the main acupuncture prescriptions for AECOPD, and the special points are the predominated selection. The acupoint compatibility embodies the therapeutic principle of "strengthening vital

Acupuncture Points , Acupuncture Therapy , Data Mining , Humans , Meridians , Pulmonary Disease, Chronic Obstructive/therapy
Chinese Acupuncture & Moxibustion ; (12): 1166-1170, 2021.
Article in Chinese | WPRIM | ID: wpr-921027


OBJECTIVE@#To analyze the rules of acupoint and medication selection of acupoint application therapy for functional constipation (FC) by data mining technology.@*METHODS@#The clinical research literature regarding acupoint application therapy for FC from published to February 26, 2020 was searched in CNKI, VIP, Wanfang, SinoMed and PubMed. The prescriptions were extracted, and by using SPSS24.0 and SPSS Modeler14.0 software, the use of high-frequency acupoints and medication was summarized. The association rule analysis, cluster analysis and core prescription analysis of acupoints and medication were analyzed.@*RESULTS@#A total of 122 prescriptions of acupoint application therapy were included, involving 32 acupoints. The core prescription of acupoints was Tianshu (ST 25), Dachangshu (BL 25), Shenque (CV 8) and Guanyuan (CV 4). The high-frequency meridians mainly included conception vessel, @*CONCLUSION@#The use of local acupoint and regulating-

Acupuncture Points , Acupuncture Therapy , Constipation/drug therapy , Data Mining , Humans , Meridians
Article in Chinese | WPRIM | ID: wpr-888128


The tumor prescriptions contained in Dictionary of Tumor Formulas, Compendium of Good Tumor Formulas, Chinese Pharmacopoeia, Ministry of Health Drug Standards for Chinese Medicine Formulas and National Compilation of Standards for Proprietary Chinese Medicines were selected and organized to construct a database for tumor prescriptions, and the data mining techniques were applied to investigate the prescription regularity of colorectal cancer prescriptions. The formula data were extracted after screening in strict accordance with the inclusion and exclusion criteria, and were then analyzed with Microsoft Excel 2010 for frequency statistics, Apriori block provided by SPSS Clementine 12.0 software for correlation rule analysis, and arules and arulesViz packages in R 4.0.2 software for correlation rule visualization. In addition, SPSS 18.0 software was used for cluster analysis and factor analysis, in which cluster analysis was performed by Ochiai algorithm with bicategorical variables in systematic clustering method and factor analysis was performed mainly with principal component analysis. A total of 285 prescriptions were included in the statistical analysis, and the frequency statistics showed that 43 herbs had been used more than 16 times. The association rules analysis showed that 26 high-frequency me-dicine pair rules were obtained, and the association rules for those dispelling evil spirits, strengthening the body, resolving stasis, dispelling dampness, etc. were visualized. In the cluster analysis, we generated a dendrogram from which 7 groups of traditional Chinese medicines with homogeneity were extracted. 10 common factors were obtained in the factor analysis. The types of herbal medicines involved in the colorectal cancer prescription included anti-cancer antidotes, strengthening and tonifying medicines, blood-regulating medicines, and expectorant medicines, corresponding to the treatment for eliminating evil spirits, strengthening, resolving stasis, and expectorating dampness. The prescriptions for anti-cancer detoxification were normally based on the pairs composed of Scutellaria barbata-Hedyotis diffusa and Sophora flavescens, Sargentodoxa cuneata, S. barbata, often combined with stasis relieving drug and dampness eliminating drug, reflecting the characteristics of treatment for both toxicity and stasis, dampness and toxicity simultaneously. The prescriptions for strengthening the righteousness and tonifying the deficiency were composed of Astragalus membranaceus and Atractylodes macrocephala mainly, exerting the effect of benefiting Qi, strengthening the spleen and drying dampness, tonifying kidney and essence, tonifying blood and invigorating blood. Meanwhile, anti-cancer detoxification medicines shall be reduced as much as possible. The compatibility of the medicines for the intestinal tract reflected the principle of using the right medicine for the right condition and eliminating evil spirits or strengthening the body, as appropriate.

Colorectal Neoplasms/drug therapy , Data Mining , Drug Prescriptions , Drugs, Chinese Herbal/therapeutic use , Humans , Medicine, Chinese Traditional
Article in Chinese | WPRIM | ID: wpr-887996


Chinese materia medica( CMM) serves as an important cornerstone for the development of traditional Chinese medicine( TCM) culture and industry due to its unique ecological,medical,economic,scientific and technological,and cultural values. The supply shortage and unstable quality of some CMM resources have hindered the development of TCM. Ensuring the sustainable use of CMM resources has become essential for the development of TCM in China. Enriching CMM resources is the key to ensuring the sustainable utilization of TCM resources in China,which can be achieved via expanding the medicinal parts,developing the substitutes,seeking for analogues,exploring the ethnic and folk medicines,or introducing foreign medicinal materials. CMM efficacy or function positioning plays a very important role in the transformation of new CMM resources. The strategies and methods for efficacy or function positioning of new CMM resources,including analogy,plant genetic relationship exploration,medicinal property deduction,ethnobotanical investigation,text mining,network pharmacology,and structure-activity relationship exploration,were systematically proposed in this study based on CMM theory,textual research,and modern methodologies. This paper is expected to provide a theoretical reference for the continuous enrichment and development of CMM resources and the high-quality development of TCM culture and industry.

China , Data Mining , Drugs, Chinese Herbal/pharmacology , Humans , Materia Medica , Medicine, Chinese Traditional
Article in Chinese | WPRIM | ID: wpr-887971


To summarize and analyze the current adjuvant sleep-improving Chinese medicinal health products,this study retrieved the information on health products with the sleep-improving effect published by the Department of Special Food Safety Supervision and Management,State Administration for Market Regulation( SMAR),which was statistically analyzed with Microsoft Excel and TCMISS for the characteristics of formulations. A total of 435 sleep-improving health products were collected,including 344 ones containing Chinese herbal medicines. Among them,413 health products were not suitable for adolescents,neither 194 for pregnant women. Ten Chinese herbal medicines showed a frequency of use ≥40,with 1 095 times( 73. 1%) in use. Through unsupervised hierarchical entropy-based clustering of the above Chinese herbal medicines of health products( degree of support of 45 and confidence coefficient of0. 7),12 new formulas were obtained. The composition of Chinese herbal medicines was consistent with the principles of improving sleep in traditional Chinese medicine( TCM) theories,i. e.,replenishing the heart and spleen,nourishing blood,calming the nerves,nourishing Yin,reducing internal heat,communicating the heart and kidney,replenishing Qi,relieving convulsions,clearing heat,resolving phlegm,regulating the middle warmer,soothing the liver,relieving heat,and calming the heart. According to TCM theories,syndrome differentiation was performed based on the existing sleep-improving health products,followed by data mining and analysis according to the formulation regularity,aiming to provide new ideas for the development of new Chinese medicinal health products. In particular,attention should be attached to the requirements of special populations to provide a basis for follow-up studies,exert the advantages of TCM,and lay a foundation for Chinese medicinal health products to service the public.

Adolescent , China , Data Mining , Drugs, Chinese Herbal , Female , Humans , Medicine, Chinese Traditional , Pregnancy , Sleep
Article in Chinese | WPRIM | ID: wpr-879267


In order to understand the evolution of the diagnosis and treatment plans of corona virus disease 2019 (COVID-19), and provide convenience for medical staff in actual diagnosis and treatment, this paper uses the 9 diagnosis and treatment plans of COVID-19 issued by the National Health Commission during the period from January 26, 2020 to August 19, 2020 as research data to perform comparative analysis and visual analysis. Based on text mining, this paper obtained the text similarity and summarized its evolution law by expressing and measuring the similarity of the overall diagnosis and treatment plans of COVID-19 and the same modules, which provides reference for clinical diagnosis and treatment practice and other diagnosis and treatment plan formulation.

COVID-19 , Data Mining , Humans , SARS-CoV-2
Article in Chinese | WPRIM | ID: wpr-879196


Chinese patent medicine prescriptions containing Jujubea Fructus in 2015 edition of Chinese Pharmacopoeia and the Composition Principles of Chinese Patent Drug were collected, and the characteristics of Chinese patent medicine containing Jujubea Fructus were analyzed by using data mining technology. Statistical software Excel 2019, Clementine 12.0 and SPSS 21.0 were used to conduct statistical analysis of conforming Chinese patent medicine prescriptions by means of frequency statistics, association rule analysis and cluster analysis. Finally, a total of 185 Chinese patent medicine prescriptions containing Jujubea Fructus were included in this study, involving 402 Chinese medicines and 28 kinds of high frequency Chinese medicines, with Jujubea Fructus, Poria, Zingiberis Rhizoma Recens, Glycyrrhizae Radix et Rhizoma, and Codonopsis Radix as the top five. The deficiency-nourishing drugs were in the most common efficacy classification, mainly sweet, bitter and pungent, with most medicine properties of warm and gentle, main meridians of spleen lung and stomach, dosage forms of pills, granules and tablets, and main indications of splenic diseases. Fifteen drug combinations were obtained in association rule analysis. Eleven drug combinations were obtained by association rule analysis of Chinese patent medicine containing Jujubea Fructus in the treatment of splenic diseases, and the drugs were divided into two categories by cluster analysis. According to the above analysis, it is found that the Chinese patent medicine prescriptions containing Jujubea Fructus are mainly composed of deficiency-nourishing drugs, mostly compatible with drugs of sweet, bitter and pungent flavors, warm and gentle properties, and spleen, lung, and stomach meridians in the treatment of splenic diseases, with Sijunzi Decoction as the main drug. This study provides guidance for modern clinical application and development of Jujubea Fructus.

China , Data Mining , Drugs, Chinese Herbal , Medicine, Chinese Traditional , Nonprescription Drugs
Article in Chinese | WPRIM | ID: wpr-879165


To explore the drug use rules of traditional Chinese medicine(TCM) in the treatment of ulcerative colitis, and to provide some references for clinical treatment. The full-text search of "ulcerative colitis+TCM" was conducted based on CNKI. The literatures published from 2000 to 2020 were selected, and the clinical prescriptions for ulcerative colitis were selected according to the inclusion and exclusion criteria. The statistical processing and association rule analysis were carried out with use of Excel 2013, Clementine 12.0 and IBM SPSS Statistics 25.0 statistical software. A total of 177 prescriptions were obtained after retrieval of 3 432 relevant literatures, including 93 oral prescriptions and 84 enema prescriptions. Among them, Glycyrrhizae Radix et Rhizoma, Atractylodis Macrocephalae Rhizoma, Coptidis Rhizoma, Aucklandiae Radix and Paeoniae Radix Alba were the most frequently used drugs in oral administration, with the functions of tonifying, heat clearing and Qi regulating. The drugs with high frequency in enema included Bletillae Rhizoma, Coptidis Rhizoma, Sanguisorbae Radix, Phellodendri Chinensis Cortex and Sophorae Flavescentis Radix, with the functions of heat clearing, blood stopping and tonifying. Both oral and enema means of drugs were mainly of warm, cold and slightly cold properties, and bitter and sweet flavors, involving spleen, stomach, lung and large intestine. In cluster analysis, oral and enema drugs were divi-ded into 5 groups. Accordingly, in the treatment of ulcerative colitis, tonifying medicine, heat clearing medicine and Qi regulating medicine are often used for oral administration and heat clearing medicine, hemostatic medicine and tonifying medicine are often used for enema administration. On this basis, they are combined with diuretic drugs and astringent drugs respectively.

Colitis, Ulcerative/drug therapy , Data Mining , Drugs, Chinese Herbal , Humans , Medicine, Chinese Traditional
Article in Chinese | WPRIM | ID: wpr-879061


To explore prescription medication regularity in the treatment of Alzheimer's disease with traditional Chinese medicine(TCM). With Alzheimer's disease or senile dementia as the subject, collecting and sorting out the journal papers in CNKI were collected as the data source to establish the literature research database of Alzheimer's disease prescriptions, and then the association rule analysis, factor analysis and systematic cluster analysis on the included TCM were conducted. Among the 113 prescriptions included in the standard, the single herb Acori Tatarinowii Rhizoma was the most common. The herbs were mainly warm and flat among four pro-perties, mainly sweet, bitter and spicy among five flavors. The drugs were mainly distributed in five internal organs, and the most commonly used drugs were deficiency tonifying drugs as well as blood activating and stasis removing drugs. In the association rule analysis, it was found that there were 6 drug pairs with the highest association strength. Eight common factors were extracted from the factor analysis, and they were classified into 6 categories in the systematic cluster analysis. The results have shown that the overall principles in treating Alzheimer's disease with modern Chinese medicine are tonifying deficiency, invigorating circulation, activating blood and dispelling phlegm.

Alzheimer Disease/drug therapy , Data Mining , Drugs, Chinese Herbal/therapeutic use , Humans , Medicine, Chinese Traditional , Prescriptions
Article in Chinese | WPRIM | ID: wpr-877680


Based on the data mining technology, the rules of acupoint selection and prescription were analyzed for impotence treated with acupuncture and moxibustion in ancient recorded in

Acupuncture Points , Acupuncture Therapy , Data Mining , Erectile Dysfunction , Humans , Male , Meridians , Moxibustion , Technology
Article in Chinese | WPRIM | ID: wpr-877620


OBJECTIVE@#To explore the rule of point selection in treatment of cerebral palsy with acupuncture in preschool children.@*METHODS@#Based on the electronic medical records of Xi'an Encephalopathy Hospital of TCM, through structuring medical record text, acupuncture prescriptions were extracted. Using the data mining tools of the ancient and modern medical record cloud platform V2.2.3 and the clinical effective prescription and molecular mechanism analysis system of traditional Chinese medicine V2.0, the cluster analysis and complex network analysis were conducted on acupuncture prescriptions.@*RESULTS@#Of 1584 acupuncture prescriptions for cerebral palsy in children, there were 84 acupoints and stimulating areas of scalp acupuncture, of which, foot-motor-sensory area, balance area and Sanyinjiao (SP 6) were the top 3 acupoints with the highest use rate. With cluster analysis, 5 groups of common supplementary acupoints and stimulating areas were found, named, Weizhong (BL 40) and Waiguan (TE 5), Shousanli (LI 10), Xingjian (LR 2), Xuanzhong (GB 39) and Chengfu (BL 36), foot-motor-sensory area, balance area and Sanyinjiao (SP 6), Xuehai (SP 10) and Fenglong (ST 40), Pishu (BL 20), motor area and Yanglingquan (GB 34). With complex network analysis on core prescriptions, 13 core acupoints and stimulating areas of scalp acupuncture were obtained, including 3 core main points, i.e. Sanyinjiao (SP 6), balance area and foot-motor-sensory area and 10 sub-core points, i.e. Taichong (LR 3), motor area, Xuehai (SP 10), Ganshu (BL 18), Pishu (BL 20), Yanglingquan (GB 34), Sishencong (EX-HN 1), Baihui (GV 20), Fengchi (GB 20) and Shenshu (BL 23).@*CONCLUSION@#In treatment of acupuncture for cerebral palsy in preschool children, the core prescriptions reveal the simultaneous treatment of exterior and interior, the mutual regulation of

Acupuncture Points , Acupuncture Therapy , Cerebral Palsy/therapy , Child, Preschool , Data Mining , Electronic Health Records , Humans
J. health inform ; 13(4): 120-127, 20210000. []
Article in Portuguese | LILACS | ID: biblio-1359305


Objetivo: O objetivo deste trabalho foi analisar o itinerário e o perfil dos usuários, com demandas por atendimentos de saúde nas unidades básicas e de pronto atendimento, por meio da mineração de processos. Método: A base de dados foi extraída do Sistema Informatizado e-Saúde ­ Município de Curitiba, correspondente ao período entre janeiro e dezembro de 2019. Quatro distritos sanitários foram selecionados a partir de critérios de polarização. Para a descoberta do itinerário, foi adotado o software Disco®. Resultado: Foram identificadas situações que não seguem o preconizado pela atenção primária à saúde, desde a consulta médica como sendo o serviço básico de saúde mais frequente realizado nas unidades de pronto atendimento, bem como sendo o primeiro local de busca por atendimento. Conclusão: O critério de polarização para a seleção dos distritos, contribui para que o gestor reveja o processo de trabalho estabelecido para a atenção básica, conforme o respectivo perfil.

Objective: The objective of this study was to analyze the itinerary and profile of users, with demands for health care in primary and emergency care units, through process mining. Method: The database was extracted from the e-Saúde Computerized System ­ Municipality of Curitiba, corresponding to January and December 2019. Four health districts were selected based on polarization criteria. For the discovery of the itinerary, the Disco® software was adopted. Result: Situations that do not follow what is recommended by primary health care were identified since the medical consultation is the most frequent basic health service performed in emergency care units and the first place to seek care. Conclusion: The polarization criterion for selecting districts helps the manager review the work process established for primary care, according to the respective profile.

Objetivo: El objetivo de este estudio fue analizar el itinerario y perfil de los usuarios, con demandas de atención a la salud en las unidades de atención primaria y urgencias, a través de la minería de procesos. Método: La base de datos se extrajo del Sistema Computarizado e-Saúde - Municipio de Curitiba (enero a diciembre de 2019). Se seleccionaron cuatro distritos de salud con base en criterios de polarización. Para el descubrimiento del itinerario se adoptó el software Disco®. Resultado: Se identificaron situaciones que no siguen lo recomendado por la atención primaria de salud, ya que la consulta médica es el servicio básico de salud más frecuente que se realiza en las unidades de atención de emergencia y el primer lugar para buscar atención. Conclusión: El criterio de polarización para la selección de distritos ayuda al gestor a revisar el proceso de trabajo establecido para la atención primaria, según el perfil respectivo.

Humans , Primary Health Care , Health Profile , Telemedicine , Basic Health Services , Data Mining , Therapeutic Itinerary , Epidemiology, Descriptive , Retrospective Studies , Observational Studies as Topic , Evaluation Studies as Topic
J. health inform ; 13(4): 113-119, 20210000.
Article in Portuguese | LILACS | ID: biblio-1359303


Objetivo: Descobrir padrões de apresentação clínica entre pacientes admitidos em uma emergência hospitalar com insuficiência cardíaca aguda. Métodos: Estudo exploratório de base de dados através da aplicação do processo de Descoberta de Conhecimento em Base de Dados, o qual é composto pelas etapas de pré-processamento, mineração de dados e pós-processamento. No estudo foi utilizado o software de código aberto com algoritmos de mineração de dados denominado Weka. Resultados: Foram analisados 965 pacientes, sendo 571(59%) mulheres. A idade média foi 80,79±12,76 anos. A maioria (635) foi classificada como laranja pelo Sistema de Triagem de Manchester, considerada condição de muita urgência com necessidade de atendimento em até 10 minutos. Os sinais e sintomas mais prevalentes foram aqueles relacionados a alterações respiratórias. Os pacientes classificados como amarelo apresentaram maior homogeneidade quando avaliados os sinais vitais. Conclusão: O padrão de apresentação clínica associado à classificação de risco de urgência e muita urgência em pacientes com insuficiência cardíaca que buscam a emergência hospitalar constitui-se, majoritariamente, de sinais e sintomas respiratórios.

Objective: To discover patterns of clinical presentation among patients admitted to an emergency hospital with acute heart failure. Methods: Exploratory study of a database through the application of the Knowledge Discovery process in a Database, which comprises the steps of pre-processing, data mining and post-processing. In the study, open source software with data mining algorithms called Weka was used. Results: 965 patients were analyzed, being 571 (59%) women. The mean age was 80.79±12.76 years. Most (635) were classified as orange by the Manchester Triage System, considered a very urgent condition requiring care within 10 minutes. The most prevalent signs and symptoms were those related to respiratory changes. Patients classified as yellow showed greater homogeneity when assessing vital signs. Conclusion: The pattern of clinical presentation associated with the risk classification of urgency and high urgency in patients with heart failure who seek hospital emergency consists, mostly, of respiratory signs and symptoms.

Objetivo: conocer patrones de presentación clínica en pacientes ingresados en un hospital de urgencias por insuficiencia cardiaca aguda. Métodos: Estudio exploratorio de una base de datos mediante la aplicación del proceso de Descubrimiento del Conocimiento en una Base de Datos, el cual está compuesto por las etapas de preprocesamiento, minería de datos y posprocesamiento. En el estudio, se utilizó un software de código abierto con algoritmos de minería de datos llamado Weka. Resultados: se analizaron 965 pacientes, siendo 571 (59%) mujeres. La edad media fue de 80,79 ± 12,76 años. La mayoría (635) fueron clasificados como naranja por el Sistema de Triaje de Manchester, considerado una condición muy urgente que requiere atención dentro de los 10 minutos. Los signos y síntomas más prevalentes fueron los relacionados con alteraciones respiratorias. Los pacientes clasificados como amarillos mostraron mayor homogeneidad a la hora de evaluar los signos vitales. Conclusión: El patrón de presentación clínica asociado a la clasificación de riesgo de urgencia y alta urgencia en pacientes con insuficiencia cardíaca que acuden a urgencias hospitalarias está constituido mayoritariamente por signos y síntomas respiratorios.

Humans , Male , Female , Aged, 80 and over , Electronic Data Processing , Acute Disease , Emergency Nursing , Risk Assessment , Emergency Service, Hospital , Data Mining , Heart Failure , Applied Research
Cad. Saúde Pública (Online) ; 37(5): e00100119, 2021. tab, graf
Article in Portuguese | LILACS | ID: biblio-1249439


A leptospirose se relaciona a problemas de saneamento ambiental, com incremento de casos em períodos de inundações. Levando-se em consideração as questões relacionadas a mudanças climáticas, as inundações tendem a um aumento. As inundações não atingem as populações de maneira homogênea, em geral os menos favorecidos em termos socioeconômicos são os mais acometidos. Para saber se o número de inundações aumentaria a incidência de leptospirose e sua relação com as variáveis contextuais, utilizou-se dados socioeconômicos, ambientais e de ocorrência da doença no nível municipal. Os municípios que tinham problemas no esgotamento sanitário apresentaram maior risco para a ocorrência da leptospirose. O total de inundações adquirida a partir da decretação pela autoridade municipal constituiu um importante marcador de risco para a ocorrência de leptospirose. A modelagem de árvore de regressão mostrou-se útil para estimar a ocorrência de leptospirose no Brasil.

Leptospirosis is related to problems with environmental sanitation, and the incidence tends to increase during flood periods. Considering issues related to climate change, floods can be expected to increase. Floods do not affect populations homogeneously, and communities with worse socioeconomic conditions tend to be impacted more heavily. In order to determine whether the number of floods increases the incidence of leptospirosis and its relationship to contextual variables, the study used socioeconomic, environmental, and disease occurrence data at the municipal (county) level. Municipalities suffering problems with sewage disposal showed a higher risk of leptospirosis incidence. Total flooding since the municipality's declaration of flood emergency was an important risk marker for leptospirosis incidence. Regression tree modeling proved useful for estimating leptospirosis incidence in Brazil.

La leptospirosis se relaciona con problemas de saneamiento ambiental, así como con el incremento de casos en períodos de inundaciones. Teniendo en consideración las cuestiones relacionadas con el cambio climático, las inundaciones tienden a aumentar. Las inundaciones no afectan a las poblaciones de manera homogénea, en general, los menos favorecidos en términos socioeconómicos son los más afectados. Para saber si el número de inundaciones aumentaría la incidencia de leptospirosis, y su relación con variables contextuales, se utilizaron datos socioeconómicos, ambientales y de ocurrencia de la enfermedad en el nivel municipal. Los municipios que poseían problemas en el alcantarillado sanitario presentaron un mayor riesgo para la ocurrencia de leptospirosis. El total de inundaciones sufridas a partir de su reconocimiento oficial por parte de la autoridad municipal constituyó un importante marcador de riesgo para la ocurrencia de leptospirosis. El modelo de árbol de regresión se mostró útil para estimar la ocurrencia de leptospirosis en Brasil.

Humans , Floods , Leptospirosis/epidemiology , Brazil/epidemiology , Cities/epidemiology , Data Mining