33 resultados para medical information extraction
em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"
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Cancer is the second main cause of death in Brazil, and according to statistics disclosed by INCA - National Cancer Institute 466,730 new cases of the disease are forecast for 2008. The storage and analysis of tumour tissues of various types and patients' clinical data, genetic profiles, characteristics of diseases and epidemiological data may provide more precise diagnoses, providing more effective treatments with higher chances for the cure of cancer. In this paper we present a Web system with a client-server architecture, which manages a relational database containing all information relating to the tumour tissue and their location in freezers, patients, medical forms, physicians, users, and others. Furthermore, it is also discussed the software engineering used to developing the system.
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INTRODUÇÃO: Há indícios de que a deterioração das condições de trabalho ocorrida em anos recentes influencie a mortalidade. O objetivo do estudo é estimar indicadores de mortalidade para a população de Botucatu, classificada de acordo com as ocupações exercidas. MÉTODO: Foram calculados os indicadores coeficiente de mortalidade padronizado (CMP), razão de risco padronizada e anos potenciais de vida perdidos (APVP) para a população de Botucatu, em 1997, segundo ocupações e causas básicas do óbito. RESULTADOS: Os indicadores CMP e APVP variaram entre 0,6 e 39,9 óbitos/1000 trabalhadores e entre 33 e 334 anos/1000 trabalhadores, respectivamente, de acordo com a ocupação principal exercida. Observou-se que a ordenação quantitativa das causas de óbito depende da ocupação e do indicador utilizado. CONCLUSÕES: Os indicadores de mortalidade verificados apresentam uma grande heterogeneidade quando analisados de acordo com ocupação e causas básicas de óbito, refletindo a enorme desigualdade social existente na população estudada.
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Objective: To review the literature on inhaled nitric oxide and to describe its main clinical applications in pediatrics. Sources of data: A 10 year literature review with selection of the most important publications on inhaled nitric oxide, using the Medline and Cochrane Systematic Review databases. Summary of the findings: This review was organized as follows: introduction; metabolism and biological effects; clinical applications; dosage, gas administration and weaning; precautions and side-effects. Inhaled nitric oxide use was described in persistent pulmonary hypertension and hypoxia of the newborn, acute respiratory distress syndrome, primary pulmonary hypertension, heart surgery, chronic obstructive pulmonary disease, sickle cell anemia, and bronchospastic disease. Conclusions: Inhaled nitric oxide is a therapeutic approach with wide clinical applications in pediatrics. Its use is safe when administered in pediatric intensive care units under strict monitoring. As a pulmonary vasodilator, nitric oxide has beneficial effects on gas exchange and ventilation. Controlled trials, focusing on early gas administration should be performed under many clinical conditions, especially acute respiratory distress syndrome.
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This paper describes a data mining environment for knowledge discovery in bioinformatics applications. The system has a generic kernel that implements the mining functions to be applied to input primary databases, with a warehouse architecture, of biomedical information. Both supervised and unsupervised classification can be implemented within the kernel and applied to data extracted from the primary database, with the results being suitably stored in a complex object database for knowledge discovery. The kernel also includes a specific high-performance library that allows designing and applying the mining functions in parallel machines. The experimental results obtained by the application of the kernel functions are reported. © 2003 Elsevier Ltd. All rights reserved.
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Objective: The implementation of work-related injury prevention policies has been hindered by underreporting of incidents among formal workers, and substantial underreporting among informal workforce. This study aimed at estimating the underreporting of work-related injury in a median-sized city. Methods: A random survey was carried out among residences in the urban area of Brazil. Residents were interviewed about the occurrence of work-related injury to people aged more than nine years in the last 90 days. All incidents reported were double checked in the National Social Security Institute (INSS) records. Results: There were 9,626 residences visited. It was estimated 79.5% (CI 95%: 78.8%-80.3%) of underreporting of work-related injury. Conclusions: Work-related injury reporting is poor in the study location and this may be occurring in other cities. Data suggest the need to build up information systems on Brazilian workers' health. It should incorporate methods, materials and human recourses necessary to recognize, store, analyze, and spread information support injury prevention policies and promote workers' health programs.
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Phytotherapy is a form of familiar treatment throughout the world and recommended by the World Health Organisation to be used in all regions, especially in the poorer countries, to improve the state of health of their people. The aim of this study was to describe the use of herbal medicine as an alternative therapy in the public health system in Sao Paulo State. The fieldwork consisted in obtaining information, from all the Regional Health Authorities in the State, about which municipal health areas use this therapy and sending them a questionnaire requesting details about the application of phitotherapy: when the therapy had been adopted, which plants were used, whether the programme had been discontinued or not and if so, for what reason. The cities that use the phytotherapy are: Campinas; Canas; Guaratingueta; Herculandia; Piquete; Pindamonhangaba; Roseira e Sao Jose do Barreiro, Ribeirao Preto, Sao Lourenço da Serra, Cruzeiro e Dobrada. And the three plant more used are: Guaco (Mikania glomerate); Calendula (Calendula officinalis) e Babosa (Aloe vera) The lack of support has led some Authorities to discontinue their active in 08 programmes. Nevertheless, it is concluded that the efficacy and low cost of herbal treatments has engendered a growing interest among health professionals in placing proposals for implanting this therapy in 13 cities in the Municipal Health. Thus, there should be growing practical support for the establishment of such programmes in the future.
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The animal experimentation in the scientific research has contributed excessively for the development of science and technology, promoting to long of the years the discovery of prophylactic measures and treatments for diseases that attack the humans. Animals of some species have been used in the last times, being the mouse the more intensely used and more deeply known scientifically. The objective of this work was to carry through a bibliographical survey including data of our research group, about the use of mice in the animal experimentation, approaching its general biology, reproduction physiology, creation systems, genetics, habitation, feeding, handling, pain and euthanasia, techniques of risk developed in the experimentation, blood collection, pharmacological and toxicological experiments. Although current trends praise the use of alternative methods (in vitro studies, cells cultures, etc.), the animal models, as the mouse, present as main advantage the supply of information on the organism as a whole, fact that is not obtained with other methods, what still it makes possible its utilization in scientific research.
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The second main cause of death in Brazil is cancer, and according to statistics disclosed by National Cancer Institute from Brazil (INCA) 466,730 new cases of cancer are forecast for 2008. The analysis of tumour tissues of various types and patients' clinical data, genetic profiles, characteristics of diseases and epidemiological data may lead to more precise diagnoses, providing more effective treatments. In this work we present a clinical decision support system for cancer diseases, which manages a relational database containing information relating to the tumour tissue and their location in freezers, patients and medical forms. Furthermore, it is also discussed some problems encountered, as database integration and the adoption of a standard to describe topography and morphology. It is also discussed the dynamic report generation functionality, that shows data in table and graph format, according to the user's configuration. © ACM 2008.
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Model: Prevalence study. Objectives: To evaluate the presence of self-reported hypertension to compare with blood pressure measurements. Besides, this work investigated health information level of workers and if the job position has any influence on blood pressure (BP). Methods: This study evaluated 349 health workers (44±10 years old) from Bauru and Jau cities, who answered some questions about history of health condition, use of medicines, past surgeries as well as social, scholar and physical conditions and had their blood pressure measured. Each subject selfreported as normotensive or hypertensive. Values of systolic ≥ 140 mmHg and/or diastolic PA ≥ 90 mmHg were considered elevated. Among the health workers evaluated, 198 were submitted to anthropometric and biochemical evaluations. Values are presented as means ± SD and frequency of distribution. It was used T-student test (p<0.05). Results: From all workers evaluated only 16% self-reported as hypertensive, which 56% presented high BP, however 91% used to take antihypertensive medicines. Among the 84% who self-reported as normotensive, 24% presented high BP and 8% used to take medicines. Although most of the employees of each section self-reported as normotensive, more than a half presented high BP and which was more common in the health's section (76.3%). Conclusion: These results suggest that besides the majority of the employees self-reported as normotensive, an elevated number of health workers presented high blood pressure and used to take medicines inappropriately, which indicates that they did not have enough knowledge about their health. Furthermore, it was observed that Health Section presented the higher blood pressure values.
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Study Model: Retrospective study. Study Objective: To characterize statin treatment management due to lipid alterations and side effects throughout statin treatment in basic healthcare unit. Methods: Medical reports of women from a basic healthcare unit were analyzed, obtaining: disease presence, regular medication prescription, statin type and dosage, biochemical exams results, musculoskeletal complaints, and statin use cessation, going back the information until the medical consultation of first prescription. Results: Prescribed statins were Simvastatin and Atorvastatin at low doses (10-20 mg). Dose (48,4%) and/or type (25,4%) alterations occurred for lipid profile adequacy. Lipid levels were reduced without creatine kinase elevation. Treatment withdrawn (30,6%) was mainly due to their own decision (74%), which was strongly associated with records of musculoskeletal complaints (Odds Ratio: 6,40[1,53-26,78]). Conclusion: Statin treatment was effective in reducing serum lipid levels and self-reported pain was underestimated, characterizing the major limiting factor for treatment adherence.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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We are included in a society where the use of the Internet became very important to our everyday life. The relationships nowadays usually happen through technological devices instead of face to face contact, for instance, Internet forums where people can discuss online. However, the global analysis is a big challenge, due to the large amount of data. This work investigates the use of visual representations to support an exploratory analysis of contents in messages from discussions forums. This analysis considers the thematic and the chronology. The target forums refer to the educational area and the analysis happens manually, i.e. by direct reading message-by-message. The proprieties of perception and cognition of the human visual system allow a person the capacity to conduct high-level tasks in information extraction from a graphical or visual representation of data. Therefore, this work was based on Visual Analytics, an area that aims create techniques that amplify these human abilities. For that reason we used software that creates a visualization of data from a forum. This software allows a forum content analysis. But, during the work, we identified the necessity to create a new tool to clean the data, because the data had a lot of unnecessary information. After cleaning the data we created a new visualization and held an analysis seeking a new knowledge. In the end we compared the new visualization with the manual analysis that had been made. Analyzing the results, it was evident the potential of visualization use, it provides a better correlation between the information, enabling the acquisition of new knowledge that was not identified in the initial analysis, providing a better use of the forum content
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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The analysis of large amounts of data is better performed by humans when represented in a graphical format. Therefore, a new research area called the Visual Data Mining is being developed endeavoring to use the number crunching power of computers to prepare data for visualization, allied to the ability of humans to interpret data presented graphically.This work presents the results of applying a visual data mining tool, called FastMapDB to detect the behavioral pattern exhibited by a dataset of clinical information about hemoglobinopathies known as thalassemia. FastMapDB is a visual data mining tool that get tabular data stored in a relational database such as dates, numbers and texts, and by considering them as points in a multidimensional space, maps them to a three-dimensional space. The intuitive three-dimensional representation of objects enables a data analyst to see the behavior of the characteristics from abnormal forms of hemoglobin, highlighting the differences when compared to data from a group without alteration.