999 resultados para Universal Decimal Classification
Resumo:
In 2009, the World Health Organization (WHO) issued a new guideline that stratifies dengue-affected patients into severe (SD) and non-severe dengue (NSD) (with or without warning signs). To evaluate the new recommendations, we completed a retrospective cross-sectional study of the dengue haemorrhagic fever (DHF) cases reported during an outbreak in 2011 in northeastern Brazil. We investigated 84 suspected DHF patients, including 45 (53.6%) males and 39 (46.4%) females. The ages of the patients ranged from five-83 years and the median age was 29. According to the DHF/dengue shock syndrome classification, 53 (63.1%) patients were classified as having dengue fever and 31 (36.9%) as having DHF. According to the 2009 WHO classification, 32 (38.1%) patients were grouped as having NSD [4 (4.8%) without warning signs and 28 (33.3%) with warning signs] and 52 (61.9%) as having SD. A better performance of the revised classification in the detection of severe clinical manifestations allows for an improved detection of patients with SD and may reduce deaths. The revised classification will not only facilitate effective screening and patient management, but will also enable the collection of standardised surveillance data for future epidemiological and clinical studies.
Resumo:
Cet article a été réalisé dans le but d'évaluer la qualité des soins fournie à une population âgée de 50 à 80 ans suivie dans 4 policliniques médicales universitaires de Suisse, à savoir Bâle, Zurich, Genève et Lausanne. Nous avons sélectionné 37 indicateurs de qualité qui ont été développés et préalablement évalués au Etats-Unis. Ces indicateurs ont été divisés en 2 sous-groupes distincts : les indicateurs de prévention et les indicateurs concernant les facteurs de risque cardiovasculaires.¦L'étude a inclus des patients âgés de 50 à 80 ans avec un suivi d'un minimum de 1 an par un médecin dans l'une des policliniques de Suisse. Nous avons limité notre étude à ce groupe d'âge, afin d'avoir une prévalence élevée de facteur de risque cardiovasculaire et plus d'indications à des tests de dépistages. Les dossiers médicaux des patients ont été sélectionnés selon un mode aléatoire en prenant 250 dossiers par centre.¦L'enjeu principal de cette étude était de déterminer le niveau de soins fournis en Suisse dans les policliniques médicales universitaires. Il a été également possible de mettre en évidence les secteurs de prévention pour lesquels le taux d'application est encore insuffisant. Nous avons par la même occasion comparé nos résultats à ceux obtenus aux Etats-Unis, sachant que ce pays a un système d'évaluation de la qualité des soins qui fournit chaque années des statistiques à ce sujet.¦Les résultats de notre étude montrent qu'en Suisse les adultes reçoivent 69% des mesures de prévention recommandées mais que ces taux diffèrent d'un indicateur à l'autre. Les indicateurs à propos de la tension artérielle et de la mesure du poids (les 2 95%) ont plus souvent été réalisés durant les consultations que les indicateurs concernant l'arrêt du tabagisme (72%), les cancers du sein (40%), du colon (35%) et la vaccination annuelle contre la grippe (35.2% chez les patients de >65 ans et 29.3% chez les patient de <65 ans avec une maladie chronique). 83% des patients reçoivent les mesures préventives concernant les facteurs de risque cardiovasculaire, avec >75% pour l'hypertension, le diabète et la dyslipidémie. Cependant, l'examen des pieds est effectué chez seulement 50% des patients présentant un diabète.¦De même, nous avons pu démontrer que les femmes (65.3%) et les personnes âgées de plus de 65 ans (68.0%) reçoivent moins de mesures préventives que les hommes (72.2%) et les personnes plus jeunes (70.1%).¦Ce travail de recherche a donc permis de mettre en évidence les domaines de la prévention encore insuffisamment proposés aux patients et de rendre attentif le personnel médical sur le fait qu'il existe en Suisse des groupes de personnes qui reçoivent moins de prévention que d'autres groupes. Dans le futur, l'accent devrait être d'avantage mis durant les études de médecine et lors de la formation post-graduée sur les mesures préventives pas assez exploitées en Suisse en particulier le dépistage des cancers et la vaccination annuelle contre la grippe.
Resumo:
Aproximació diagnòstica quantitativa-qualitativa per conèixer els termes sobre Tecnologies de la Informació i la Comunicació més usats per dos diaris en la seva versió en línia i estudiar com són concebuts i expressats en el discurs mediàtic. En els mitjans la majoria dels termes tecnològics usats tenen una significació discordant causa de la concepció imprecisa d'Internet per Web, concepció que no obeeix a una sinonímia sinó al generalitzat enteniment d'Internet com a mitjà de comunicació i no com a infraestructura, noció que reprèn i legitima l'ús merament instrumental de les Tecnologies de la Informació i la Comunicació a la societat.
Resumo:
A statistical method for classification of sags their origin downstream or upstream from the recording point is proposed in this work. The goal is to obtain a statistical model using the sag waveforms useful to characterise one type of sags and to discriminate them from the other type. This model is built on the basis of multi-way principal component analysis an later used to project the available registers in a new space with lower dimension. Thus, a case base of diagnosed sags is built in the projection space. Finally classification is done by comparing new sags against the existing in the case base. Similarity is defined in the projection space using a combination of distances to recover the nearest neighbours to the new sag. Finally the method assigns the origin of the new sag according to the origin of their neighbours
Resumo:
BACKGROUND: Inherited ichthyoses belong to a large, clinically and etiologically heterogeneous group of mendelian disorders of cornification, typically involving the entire integument. Over the recent years, much progress has been made defining their molecular causes. However, there is no internationally accepted classification and terminology. OBJECTIVE: We sought to establish a consensus for the nomenclature and classification of inherited ichthyoses. METHODS: The classification project started at the First World Conference on Ichthyosis in 2007. A large international network of expert clinicians, skin pathologists, and geneticists entertained an interactive dialogue over 2 years, eventually leading to the First Ichthyosis Consensus Conference held in Sorèze, France, on January 23 and 24, 2009, where subcommittees on different issues proposed terminology that was debated until consensus was reached. RESULTS: It was agreed that currently the nosology should remain clinically based. "Syndromic" versus "nonsyndromic" forms provide a useful major subdivision. Several clinical terms and controversial disease names have been redefined: eg, the group caused by keratin mutations is referred to by the umbrella term, "keratinopathic ichthyosis"-under which are included epidermolytic ichthyosis, superficial epidermolytic ichthyosis, and ichthyosis Curth-Macklin. "Autosomal recessive congenital ichthyosis" is proposed as an umbrella term for the harlequin ichthyosis, lamellar ichthyosis, and the congenital ichthyosiform erythroderma group. LIMITATIONS: As more becomes known about these diseases in the future, modifications will be needed. CONCLUSION: We have achieved an international consensus for the classification of inherited ichthyosis that should be useful for all clinicians and can serve as reference point for future research.
Resumo:
The 2008 Data Fusion Contest organized by the IEEE Geoscience and Remote Sensing Data Fusion Technical Committee deals with the classification of high-resolution hyperspectral data from an urban area. Unlike in the previous issues of the contest, the goal was not only to identify the best algorithm but also to provide a collaborative effort: The decision fusion of the best individual algorithms was aiming at further improving the classification performances, and the best algorithms were ranked according to their relative contribution to the decision fusion. This paper presents the five awarded algorithms and the conclusions of the contest, stressing the importance of decision fusion, dimension reduction, and supervised classification methods, such as neural networks and support vector machines.
Resumo:
Here we present the first in a series of articles about the ecology of immature stages of anophelines in the Brazilian Yanomami area. We propose a new larval habitat classification and a new larval sampling methodology. We also report some preliminary results illustrating the applicability of the methodology based on data collected in the Brazilian Amazon rainforest in a longitudinal study of two remote Yanomami communities, Parafuri and Toototobi. In these areas, we mapped and classified 112 natural breeding habitats located in low-order river systems based on their association with river flood pulses, seasonality and exposure to sun. Our classification rendered seven types of larval habitats: lakes associated with the river, which are subdivided into oxbow lakes and nonoxbow lakes, flooded areas associated with the river, flooded areas not associated with the river, rainfall pools, small forest streams, medium forest streams and rivers. The methodology for larval sampling was based on the accurate quantification of the effective breeding area, taking into account the area of the perimeter and subtypes of microenvironments present per larval habitat type using a laser range finder and a small portable inflatable boat. The new classification and new sampling methodology proposed herein may be useful in vector control programs.
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Colorectal cancer is a heterogeneous disease that manifests through diverse clinical scenarios. During many years, our knowledge about the variability of colorectal tumors was limited to the histopathological analysis from which generic classifications associated with different clinical expectations are derived. However, currently we are beginning to understand that under the intense pathological and clinical variability of these tumors there underlies strong genetic and biological heterogeneity. Thus, with the increasing available information of inter-tumor and intra-tumor heterogeneity, the classical pathological approach is being displaced in favor of novel molecular classifications. In the present article, we summarize the most relevant proposals of molecular classifications obtained from the analysis of colorectal tumors using powerful high throughput techniques and devices. We also discuss the role that cancer systems biology may play in the integration and interpretation of the high amount of data generated and the challenges to be addressed in the future development of precision oncology. In addition, we review the current state of implementation of these novel tools in the pathological laboratory and in clinical practice.
Resumo:
Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare subtype of leukemia/lymphoma, whose diagnosis can be difficult to achieve due to its clinical and biological heterogeneity, as well as its overlapping features with other hematologic malignancies. In this study we investigated whether the association between the maturational stage of tumor cells and the clinico-biological and prognostic features of the disease, based on the analysis of 46 BPDCN cases classified into three maturation-associated subgroups on immunophenotypic grounds. Our results show that blasts from cases with an immature plasmacytoid dendritic cell (pDC) phenotype exhibit an uncommon CD56- phenotype, coexisting with CD34+ non-pDC tumor cells, typically in the absence of extramedullary (e.g. skin) disease at presentation. Conversely, patients with a more mature blast cell phenotype more frequently displayed skin/extramedullary involvement and spread into secondary lymphoid tissues. Despite the dismal outcome, acute lymphoblastic leukemia-type therapy (with central nervous system prophylaxis) and/or allogeneic stem cell transplantation appeared to be the only effective therapies. Overall, our findings indicate that the maturational profile of pDC blasts in BPDCN is highly heterogeneous and translates into a wide clinical spectrum -from acute leukemia to mature lymphoma-like behavior-, which may also lead to variable diagnosis and treatment.
Resumo:
El objetivo de este proyecto es desarrollar una aplicación J2EE que permita a un usuario tipo realizar las operaciones más comunes en el uso de un gestor documental. Estas operaciones incluirán el alta de documentos en el gestor, la creación de carpetas, el archivado de documentos en carpetas, la localización de los documentos por sus metadatos y el versionado y actualización de un documento.
Resumo:
It has been shown that the accuracy of mammographic abnormality detection methods is strongly dependent on the breast tissue characteristics, where a dense breast drastically reduces detection sensitivity. In addition, breast tissue density is widely accepted to be an important risk indicator for the development of breast cancer. Here, we describe the development of an automatic breast tissue classification methodology, which can be summarized in a number of distinct steps: 1) the segmentation of the breast area into fatty versus dense mammographic tissue; 2) the extraction of morphological and texture features from the segmented breast areas; and 3) the use of a Bayesian combination of a number of classifiers. The evaluation, based on a large number of cases from two different mammographic data sets, shows a strong correlation ( and 0.67 for the two data sets) between automatic and expert-based Breast Imaging Reporting and Data System mammographic density assessment
Resumo:
Diagnosis of several neurological disorders is based on the detection of typical pathological patterns in the electroencephalogram (EEG). This is a time-consuming task requiring significant training and experience. Automatic detection of these EEG patterns would greatly assist in quantitative analysis and interpretation. We present a method, which allows automatic detection of epileptiform events and discrimination of them from eye blinks, and is based on features derived using a novel application of independent component analysis. The algorithm was trained and cross validated using seven EEGs with epileptiform activity. For epileptiform events with compensation for eyeblinks, the sensitivity was 65 +/- 22% at a specificity of 86 +/- 7% (mean +/- SD). With feature extraction by PCA or classification of raw data, specificity reduced to 76 and 74%, respectively, for the same sensitivity. On exactly the same data, the commercially available software Reveal had a maximum sensitivity of 30% and concurrent specificity of 77%. Our algorithm performed well at detecting epileptiform events in this preliminary test and offers a flexible tool that is intended to be generalized to the simultaneous classification of many waveforms in the EEG.