23 resultados para Cluster Analysis. Information Theory. Entropy. Cross Information Potential. Complex Data


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This dissertation considered the development of two papers, both related to mortality in Brazil. In the first article, "The context of mortality according to the three broad groups of causes of death in Brazilian capitals, 2000 and 2010", the objective was to analyze the mortality rate according to the three major groups of causes of death in Brazilian capitals. In the second article, "Typology and characteristics of mortality from external causes in the municipalities in the Northeast of Brazil, 2000 and 2010", it was built up a typology for the Northeastern municipalities taking into account information on mortality from external causes and a set of indicators related to socioeconomic, demographic, and infrastructure aspects of such municipalities, both articles for the years 2000 and 2010. Thus, we used data from the Mortality Information System of the Ministry of Health. Furthermore, it was used information from the Demographic Census for those years. The variables relating to socioeconomic and demographic conditions used in this study were those available on the home page of the United Nations Program for Development. The variables relating to socioeconomic and demographic conditions used in this study were those available on the home page of the United Nations Program for Development. Was used in Article 1 the pro-rata distribution method to accomplish the redistribution of ill-defined causes. Moreover, made use of the technique of cluster analysis with the aim of grouping the capital that had proportions of deaths from ill-defined causes similar to each other. Already in Section 2, we used the technique of Empirical Bayesian estimation; spatial statistics technique; and finally, the Grade of Membership method to find types of municipalities from information on mortality from external causes associated with socioeconomic, demographic and infrastructure variables. As the main results, it stands out in Article 1, in relation to data quality, we observed the formation of four groups of similar capital between themselves, as the proportion of illdefined causes. Regarding the behavior of mortality, according to the three major groups of causes of death, it was noted both for 2000 and for 2010 the prevalence of deaths from noncommunicable diseases for both sexes, although the reduction was identified rates in some of the capitals. Communicable diseases stood out as the second cause of death among women. Also, we found that deaths due to external causes are responsible for the second cause of death among men, as well as presenting an increase among women. As for the Article 2, stands out, in general, not just an extension of mortality from external causes in the municipalities, as well as an enlargement of the configurator stain existence of external cause deaths for the whole area of Northeast. Regarding the typology of municipalities, three vi extreme profiles were buit: the profile 1, which comprises municipalities with high rates of mortality from external causes and the best social indicators; the profile 2, that was composed of municipalities that are characterized by having low mortality rates from external causes and the lowest social indicators; and the profile 3, that brings together municipalities with intermediate mortality rates and median values considered in relation to social indicators. Although we have not seen changes in the characteristics of the profiles, we observed an increase in the proportion of municipalities that belong to the extreme profile 3, taking into account the mixed profiles.

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The aim of the present study was to trace the mortality profile of the elderly in Brazil using two neighboring age groups: 60 to 69 years (young-old) and 80 years or more (oldest-old). To do this, we sought to characterize the trend and distinctions of different mortality profiles, as well as the quality of the data and associations with socioeconomic and sanitary conditions in the micro-regions of Brazil. Data was collected from the Mortality Information System (SIM) and the Brazilian Institute of Geography and Statistics (IBGE). Based on these data, the coefficients of mortality were calculated for the chapters of the International Disease Classification (ICD-10). A polynomial regression model was used to ascertain the trend of the main chapters. Non-hierarchical cluster analysis (K-Means) was used to obtain the profiles for different Brazilian micro-regions. Factorial analysis of the contextual variables was used to obtain the socio-economic and sanitary deprivation indices (IPSS). The trend of the CMId and of the ratio of its values in the two age groups confirmed a decrease in most of the indicators, particularly for badly-defined causes among the oldest-old. Among the young-old, the following profiles emerged: the Development Profile; the Modernity Profile; the Epidemiological Paradox Profile and the Ignorance Profile. Among the oldest-old, the latter three profiles were confirmed, in addition to the Low Mortality Rates Profile. When comparing the mean IPSS values in global terms, all of the groups were different in both of the age groups. The Ignorance Profile was compared with the other profiles using orthogonal contrasts. This profile differed from all of the others in isolation and in clusters. However, the mean IPSS was similar for the Low Mortality Rates Profile among the oldest-old. Furthermore, associations were found between the data quality indicators, the CMId for badly-defined causes, the general coefficient of mortality for each age group (CGMId) and the IPSS of the micro-regions. The worst rates were recorded in areas with the greatest socioeconomic and sanitary deprivation. The findings of the present study show that, despite the decrease in the mortality coefficients, there are notable differences in the profiles related to contextual conditions, including regional differences in data quality. These differences increase the vulnerability of the age groups studied and the health iniquities that are already present.

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Technological advances combined with healthcare assistance bring increased risks related to patient safety, causing health institutions to be environments susceptible to losses in the provided care. Sectors of high complexity, such as Intensive Care Units have such characteristics highlighted due to being spaces designed for the care of patients in serious medical condition, when the use of advanced technological devices becomes a necessity. Thus, the aim of this study was to assess nursing care from the perspective of patient safety in intensive care units. This is an evaluative research, which combines various forms of data collection and analysis in order to conduct a deepened investigation. Data collection occurred in loco, from April to July 2014 in hospitals equipped with adult intensive care unit services. For this, a checklist instrument and semi-structured interviews conducted with patients, families, professionals were used in order to evaluate the structure-process-outcome triad. The instrument for nursing care assessment regarding Patient Safety included 97 questions related to structure and processes. Interviews provided data for outcome analysis. The selection of interviewees/participants was based on the willingness of potential participants. The following methods were used to collect data resulting from the instrument: statistical analysis of inter-rater reliability measure known as kappa (K); observations from judges resulting from the observation process; and added information obtained from the literature on the thematic. Data analysis from the interviews was carried out with IRAMUTEQ software, which used Descending Hierarchical Classification and Similarity analysis to aid in data interpretation. Research steps followed the ethical principles presented by Resolution No. 466 of December 12, 2012, and the results were presented in three manuscripts: 1) Evaluation of patient safety in Intensive Care Units: a focus on structure; 2) Health evaluation processes: a nursing care perspective on patient safety; 3) Patient safety in intensive care units: perception of nurses, family members and patients. The first article, related to the structure, refers to the use of 24 items of the employed instrument, showing that most of the findings were not aligned with the adequacy standards, which indicates poor conditions in structures offered in health services. The second article provides an analysis of the pillar of Processes, with the use of 73 items of the instrument, showing that 50 items did not meet the required standards for safe handling due to the absence of adequate scientific guidance and effective communication in nursing care process. For the third article, results indicate that intensive care units were safe places, yet urges for changes, especially in the physical structure and availability of materials and communication among professionals, patients and families. Therefore, our findings suggest that the nursing care being provided in the evaluated intensive care units contains troubling shortcomings with regards to patient safety, thereby evidencing an insecure setting for the assistance offered, in addition to a need for urgent measures to remedy the identified inadequacies with appropriate structures and implement protocols and care guidelines in order to consolidate an environment more favorable to patient safety.

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TDA/H is usually considered among the most frequent psychological malfunctions in both childhood and adolescence. It covers a complex combination of neurocognitive deficits leading to developmental troubles linked to attention failure, hyperactivity and impulsivity. On the other hand, diagnosis of TDA/H is frequently a hard task, since sociocultural aspects concerning the evaluation of symptoms lead to some etiologic vagueness. Additionally, the large extent of evaluation tools, together with the diversity of therapeutic approaches referred by specialized literature justify the interest of investigating the diverse ways of diagnosing and treating TDA/H by medical doctors, psychologists and psycho-pedagogues developing professional activities in Natal-RN (Brazil) in the assistance of children and teenagers with TDA/H diagnosis hypothesis. A sample of thirty-four professionals participated in this study in a convenience-basis, and submitted to a semi-directed interview. Information from this procedure was analyzed, categorized and submitted to a multidimensional descriptive analysis (cluster analysis procedure), allowing to verify the partition of the sample in two groups: Group 1, basically composed by medical professionals, and Group 2, composed by psychologists and psycho-pedagogues. The categorized variable “Number of sessions” – average time used for arriving to a diagnosis – was the partition-variable showing the larger amount of statistical contribution for the partition, followed by the variables “Professional formation” and “Use of diagnostic tools”. Variables such “Comorbidity”, “TDA/H Definition” and Modalities of Intervention” also showed contribution to the partition obtained, even though their lesser amount of statistical contribution. Despite some similarity between these two groups, data allowed to demonstrate specific association between academic source-formation of the professional concerned and diagnosis and intervention modalities shown by these professionals when dealing with TDA/H. These data confirm relevant heterogeneity in dealing with TDA/H due to professional formation of professionals involved in diagnosis and treatment tasks.

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TDA/H is usually considered among the most frequent psychological malfunctions in both childhood and adolescence. It covers a complex combination of neurocognitive deficits leading to developmental troubles linked to attention failure, hyperactivity and impulsivity. On the other hand, diagnosis of TDA/H is frequently a hard task, since sociocultural aspects concerning the evaluation of symptoms lead to some etiologic vagueness. Additionally, the large extent of evaluation tools, together with the diversity of therapeutic approaches referred by specialized literature justify the interest of investigating the diverse ways of diagnosing and treating TDA/H by medical doctors, psychologists and psycho-pedagogues developing professional activities in Natal-RN (Brazil) in the assistance of children and teenagers with TDA/H diagnosis hypothesis. A sample of thirty-four professionals participated in this study in a convenience-basis, and submitted to a semi-directed interview. Information from this procedure was analyzed, categorized and submitted to a multidimensional descriptive analysis (cluster analysis procedure), allowing to verify the partition of the sample in two groups: Group 1, basically composed by medical professionals, and Group 2, composed by psychologists and psycho-pedagogues. The categorized variable “Number of sessions” – average time used for arriving to a diagnosis – was the partition-variable showing the larger amount of statistical contribution for the partition, followed by the variables “Professional formation” and “Use of diagnostic tools”. Variables such “Comorbidity”, “TDA/H Definition” and Modalities of Intervention” also showed contribution to the partition obtained, even though their lesser amount of statistical contribution. Despite some similarity between these two groups, data allowed to demonstrate specific association between academic source-formation of the professional concerned and diagnosis and intervention modalities shown by these professionals when dealing with TDA/H. These data confirm relevant heterogeneity in dealing with TDA/H due to professional formation of professionals involved in diagnosis and treatment tasks.

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In recent years, the DFA introduced by Peng, was established as an important tool capable of detecting long-range autocorrelation in time series with non-stationary. This technique has been successfully applied to various areas such as: Econophysics, Biophysics, Medicine, Physics and Climatology. In this study, we used the DFA technique to obtain the Hurst exponent (H) of the profile of electric density profile (RHOB) of 53 wells resulting from the Field School of Namorados. In this work we want to know if we can or not use H to spatially characterize the spatial data field. Two cases arise: In the first a set of H reflects the local geology, with wells that are geographically closer showing similar H, and then one can use H in geostatistical procedures. In the second case each well has its proper H and the information of the well are uncorrelated, the profiles show only random fluctuations in H that do not show any spatial structure. Cluster analysis is a method widely used in carrying out statistical analysis. In this work we use the non-hierarchy method of k-means. In order to verify whether a set of data generated by the k-means method shows spatial patterns, we create the parameter Ω (index of neighborhood). High Ω shows more aggregated data, low Ω indicates dispersed or data without spatial correlation. With help of this index and the method of Monte Carlo. Using Ω index we verify that random cluster data shows a distribution of Ω that is lower than actual cluster Ω. Thus we conclude that the data of H obtained in 53 wells are grouped and can be used to characterize space patterns. The analysis of curves level confirmed the results of the k-means

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Each two years the amount of available information in the world double. This is the Information Age, where the success depends on what one knows, not on what one has. A new economy appears with the capacity to generate, to store, to process and to apply effectively the knowledge, based on information, determining the companies productivity and competitiveness.The objective of this work is to understand the information management model of a technological research institute - CTGÁS (Gas Technology Center). The research has been done focused on the 5 main processes and the 15 support processes of the organization value chain , aiming to understand the information management in the organization based on Davenport´s Information Management model (1998). Therefore, it was necessary to identify how the necessary information for the organizational processes accomplishment are determined, obtained, distributed and used by the organization. The research can be classified as descriptive, regarding to its aims, and as a case study, related to the research ways. Interviews with the managers of the organization value chain processes have been carried through, with the objective to identify how they perceive the Information Management process that circulates in the organizational processes. Complementarily, a documentary research has been carried through, associated to the direct observation and procedures and actions follow up, involving the Information Management. The data treatment and analysis have been done from the authors theoretical support and from the managers interviews analysis, documents and processes observed by the researcher in the organization. It was noticed that the organization has raised its level of information needs that are not difficult to be determined and are satisfactorily obtained and distributed, although the majority of them are not structuralized, automatized or even classified regarding to its confidence. These peaces of information have good quality and are important, however they reflect a medium dependence on external and informal information, besides being used only in its great majority for people to know what and how to do something

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Oil prospecting is one of most complex and important features of oil industry Direct prospecting methods like drilling well logs are very expensive, in consequence indirect methods are preferred. Among the indirect prospecting techniques the seismic imaging is a relevant method. Seismic method is based on artificial seismic waves that are generated, go through the geologic medium suffering diffraction and reflexion and return to the surface where they are recorded and analyzed to construct seismograms. However, the seismogram contains not only actual geologic information, but also noise, and one of the main components of the noise is the ground roll. Noise attenuation is essential for a good geologic interpretation of the seismogram. It is common to study seismograms by using time-frequency transformations that map the seismic signal into a frequency space where it is easier to remove or attenuate noise. After that, data is reconstructed in the original space in such a way that geologic structures are shown in more detail. In addition, the curvelet transform is a new and effective spectral transformation that have been used in the analysis of complex data. In this work, we employ the curvelet transform to represent geologic data using basis functions that are directional in space. This particular basis can represent more effectively two dimensional objects with contours and lines. The curvelet analysis maps real space into frequencies scales and angular sectors in such way that we can distinguish in detail the sub-spaces where is the noise and remove the coefficients corresponding to the undesired data. In this work we develop and apply the denoising analysis to remove the ground roll of seismograms. We apply this technique to a artificial seismogram and to a real one. In both cases we obtain a good noise attenuation