2,724 research outputs found

    Polarization state manipulation with sub-micron structures

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    Interactive exploration of population scale pharmacoepidemiology datasets

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    Population-scale drug prescription data linked with adverse drug reaction (ADR) data supports the fitting of models large enough to detect drug use and ADR patterns that are not detectable using traditional methods on smaller datasets. However, detecting ADR patterns in large datasets requires tools for scalable data processing, machine learning for data analysis, and interactive visualization. To our knowledge no existing pharmacoepidemiology tool supports all three requirements. We have therefore created a tool for interactive exploration of patterns in prescription datasets with millions of samples. We use Spark to preprocess the data for machine learning and for analyses using SQL queries. We have implemented models in Keras and the scikit-learn framework. The model results are visualized and interpreted using live Python coding in Jupyter. We apply our tool to explore a 384 million prescription data set from the Norwegian Prescription Database combined with a 62 million prescriptions for elders that were hospitalized. We preprocess the data in two minutes, train models in seconds, and plot the results in milliseconds. Our results show the power of combining computational power, short computation times, and ease of use for analysis of population scale pharmacoepidemiology datasets. The code is open source and available at: https://github.com/uit-hdl/norpd_prescription_analyse

    Analysis and study of hospital communication via social media from the patient perspective

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    Currently, the online interaction between citizens and hospitals is poor, as users believe that there are shortcomings that could be improved. This study analyzes patients’ opinions of the online communication strategies of hospitals in Spain. Therefore, a mixed-method is proposed. Firstly, a qualitative analysis through a focus-group was carried out, so around twenty representatives of national, regional and local patients’ associations were brought together. Secondly, the research is supplemented with a content assessment of the Twitter activity of the most influential hospitals in Spain. The results reveal that the general public appreciate hospitals’ communication potential through social media, although they are generally unaware of how it works. The group says that, apart from the lack of interaction, they find it hard to understand certain messages, and some publications give a biased picture. In order to improve communication, patients and relatives are demanding that their perspective be taken into consideration in the messages issued to enhance the quality of life and well-being of society

    The reflection of educational values of lympic ovement in the spanish physical education curriculum: A case study of the Santa Ana and San Raphael school in the Community of Madrid

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    El trabajo de investigación llevado a cabo ha tenido como objetivo principal identificar la presencia de los valores educativos del ideario olímpico en la realidad educativa de la Educación Secundaria que en la actualidad se imparte en España. A partir de la vigencia de la Ley Orgánica de Educación española (LOE) del 2006 en el área de Educación Física de la Educación Secundaria Obligatoria y concretamente a partir del estudio del caso en la realidad de un Centro Educativo de la Comunidad de Madrid, “el Colegio Santa Ana y San Rafael”. En el trabajo se ha profundizado en la labor profesional del docente especialista del área y sus resultados relativos a la comunicación del ideario olímpico al alumnadoThe purpose of this study is to identify the presence of Olympic values and ideals in current Spanish Secondary education, since the introduction of the Organic Law of Education (LOE) 2006, in Physical Education. Looking at Secondary Obligatory Education generally and Santa Ana and San Raphael specifically and delving into the work of the P.E specialist in his area and his results relating to the application of the Olympic ideal

    mHealth initiatives in Portugal

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    Comunicação apresentada à CISTI'2017 - 12ª Conferência Ibérica de Sistemas e Tecnologias de Informação, realizada de 21-24 de junho de 2017, em Lisboa, Portugal.O paradigma da prestação de cuidados de saúde está lentamente a alinhar-se com as necessidades e hábitos do paciente moderno. A computação móvel pode ser uma solução para responder à crescente tendência e necessidade para a partilha e colaboração de cuidados de saúde, possibilitando o redesenhar de processos e dando origem a novos modelos de prestação de cuidados de saúde. Para conhecer a situação em Portugal das iniciativas de computação móvel neste setor (mobile health) e o seu estado de implementação, seguimos a metodologia de Levac et al. para realizar um levantamento, através de um inquérito e de um estudo exploratório, cujos resultados ficaram espelhados numa matriz desenvolvida para o efeito. O mapeamento do estudo visa sumariar o conhecimento adquirido, num formato acessível e resumido para que decisores políticos, profissionais e consumidores possam fazer uso efetivo das conclusões.The paradigm of health care delivery is slowly aligning with the needs and habits of modern patients. Mobile computing may be a solution to respond to the growing trend and need for health care sharing and collaboration, enabling the redesign of processes giving rise to new models of health care delivery. Seeking to determine the situation in Portugal regarding mobile computing initiatives in this domain (mobile health) and their status of implementation, and following the methodology of Levac et al., we conducted a survey and an exploratory study whose results were mirrored in a matrix developed for this purpose. The mapping of the study aims to summarize the acquired knowledge in an accessible and summarized format so that decision-makers, practitioners and consumers can make effective use of the findings.info:eu-repo/semantics/publishedVersio
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