Search results for "Data source"
showing 10 items of 17 documents
Wilson's disease in Spain: validation of sources of information used by the Rare Diseases Registries
2021
[ES] Objetivo: Evaluar las fuentes de información empleadas por los Registros Autonómicos de Enfermedades Raras (RAER) para la captación de la enfermedad de Wilson en España, calcular su prevalencia y mortalidad, y describir las características sociodemográficas de las personas afectadas. Método: Estudio epidemiológico transversal, periodo 2010-2015. Se captaron los posibles casos mediante los códigos 275.1 (CIE-9-MC), E83.0 (CIE-10) y 905 ORPHA en 15 RAER y el Registro de Pacientes de Enfermedades Raras del Instituto de Salud Carlos III. Los diagnósticos fueron validados revisando la documentación clínica. Se calcularon el valor predictivo positivo (VPP) de las fuentes de información, la p…
Revista electrónica de investigación y evaluación educativa
2020
Objetivos: Análisis bibliométrico de los trabajos publicados por RELIEVE en los últimos 15 años; que se corresponden con los procesados por Emerging Sources Citation Index (ESCI), una nueva base de datos de Web of Science (WOS) que pretende corregir la deficiente cobertura de las revistas nacionales de algunos países. Método: Fuente de datos: 195 artículos de RELIEVE recogidos en ESCI. Análisis: Se analizaron las 7.408 referencias emitidas por los 195 trabajos. Igualmente se analizaron las 599 citas recibidas por la revista. Temáticas cubiertas: se volcaron las Author-Keywords de los 195 trabajos en la herramienta de software VOSviewer. Resultados: las citas emitidas arrojan un promedio por…
Analysis of multi-source metabolomic data using joint and individual variation explained (JIVE).
2015
Metabolic profiling is increasingly being used for understanding biological processes but there is no single analytical technique that provides a complete quantitative or qualitative profiling of the metabolome. Data fusion (i.e. joint analysis of data from multiple sources) has the potential to circumvent this issue facilitating knowledge discovery and reliable biomarker identification. Another field of application of data fusion is the simultaneous analysis of metabolomic changes through several biofluids or tissues. However, metabolomics typically deals with large datasets, with hundreds to thousands of variables and the identification of shared and individual factors or structures acros…
Quantitative approaches for evaluating the influence of films using the IMDb database
2016
[EN] Why do films certain remain influential throughout film history? The purpose of this paper is to attempt to answer this question. To do so, we adopt some quantitative approaches that facilitate an objective interpretation of the data. The data source we have chosen for this study is the Internet Online Movie Database (IMDb), and in particular, one of its sections called "Connections", which lists references made to a film in subsequent movies and references made in the film itself to previous ones. The extraction and analysis of these networks of citations allows us to draw some conclusions about the most influential movies in film history, identifying their distinguishing features, an…
AUSTRIA: Winter Tourism and Sport Retail Most Significant Sport Business Fields
2017
The Austrian sport landscape has undergone many changes within the last decades. One of the biggest changes is that the private sport sector has emerged to be nowadays a major contributor to the Austrian economy. Sport economy in Austria accounts for 4% of the total economic value added and over 333,000 people are connected to workplaces within this sector. Furthermore, the private sport sector contributes to other sectors, for example in the development of new products or materials for the aviation industry. Compared to the total value added in the Austrian sport economy, winter tourism and sport retailers act as the strongest contributors. In this article ski lift operators are presented …
A Little Bird Told Me: Discovering KPIs from Twitter Data
2020
The goal of our research and experiments is to find the definitions and values of key performance indicators (KPIs) in unstructured text. The direct access to opinions of customers served as a motivating factor for us to choose Twitter data for our experiments. For our case study, we have chosen the restaurant business domain. As in the other business domains, KPIs often serve as a solution for identification of current problems. Therefore, it is essential to learn which criteria are important to restaurant guests. The mission of our Proof-of-Concept KPI discovery tool presented in this paper is to facilitate the explorative analysis taking Twitter user posts as a data source. After process…
Attention Check Items and Instructions in Online Surveys: Boon or Bane for Data Quality?
2019
In this paper, we examine rates of careless responding and reactions to detection methods (i.e., attention check items and instructions) in an experimental setting based on two different samples. First, we use a quota sample (with monetary incentive), a central data source for internet-based surveys in sociological and political research. Second, we include a voluntary opt-in panel (without monetary incentive) well suited for conducting survey experiments (e.g., factorial surveys). Respondents’ reactions to the detection items are analyzed by objective, nonreactive indicators (i.e., break-off, item non-response, and measurement quality), and two self-report scales. Our reaction analyses rev…
Diagnóstico de Enfermedades Card´ıacas con los algoritmos supervisados Naives Bayesian
2020
Las enfermedades cardíacas son la principal causa de muerte en la actualidad. Este paper contrasta la performance de los diferentes algoritmos supervisados de Machine Learning, que tienen aplicaciones en el a´rea de la medicina, con los algoritmos supervisados Naives Bayes para ayudar a clasificar pacientes propensos a sufrir enfermedades cardíacas. Como fuente de datos se usan 303 instancias de pacientes con diferentes características que fueron analizados al procesar los datos con los respectivos algoritmos. Los resultados con el algoritmo de Naives Bayes son pro- metedores, obteniendo una precisio´n del 86,81 %, usando la fuente de datos mencionada. Esta familia de algoritmos tiene un me…
Differences in Life Expectancy Between Self-Employed Workers and Paid Employees when Retirement Pensioners: Evidence from Spanish Social Security Rec…
2021
The aim of this paper is to examine differences in life expectancy (LE) between self-employed (SE) and paid employee (PE) workers when they become retirement pensioners, looking at levels of pension income using administrative data from Spanish social security records. We draw on the Continuous Sample of Working Lives (CSWL) to quantify changes in total life expectancy at age 65 (LE(65)) among retired men over the longest possible period covered by this data source: 2005–2018. These changes are broken down by pension regime and initial pension income level for three periods. The literature presents mixed evidence, even for the same country–for Japan and Italy, for example–with some studies …
Complex vein systems as a data source in tectonics: An example from the Ugab Valley, NW Namibia
2014
Abstract Neoproterozoic metaturbidites in the Lower Ugab Domain, Namibia, contain a complex network of four sets of quartz-calcite veins, overprinted by km-scale folds associated with four regional foliations. The veins formed by fluid overpressure predating the main deformation. Deformation structures developed at the junction of two mobile belts during the assembly of Gondwana, the NS Kaoko Belt, and the EW trending Damara Belt. Km-scale NS trending folds were initiated during EW constriction in the Kaoko Belt, while their further development and all subsequent events are related to constriction in the EW-Damara Belt, with coeval sinistral strike slip in the Kaoko Belt. Deformation of the…