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Browsing by Subject "Information visualization"
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Item Building Social Digital Libraries(H.W. Wilson Company, 2003) Börner, KatyThe accelerating rate of scientific and technical discovery, typified by the ever-shortening time period for the doubling of information – currently estimated at 18 months – causes new topics to emerge at an increasing rate. Large amounts of human knowledge are available online – not only in the form of texts and images, but also as audio files, movies, software demos, etc.Item Data visualization for truth maintenance in clinical decision support systems(2015-06-19) Liu, Gilbert C.; Odell, Jere D.; Whipple, Elizabeth C.; Ralston, Rick K.; Carroll, Aaron E.; Downs, Stephen M.Background and objectives The goal is to inform proactive initiatives to expand the knowledge base of clinical decision support systems. Design and setting We describe an initiative in which research informationists and health services researchers employ visualization tools to map logic models for clinical decision support within an electronic health record. Materials and methods We mapped relationships using software for social network analysis: NodeXL and CMAP. We defined relationships by shared observations, such as two Arden rules within medical logic modules that consider the same clinical observation, or by the presence of common keywords that were used to label rules according to standardized vocabularies. Results We studied the Child Health Improvement through Computer Automation (CHICA) system, an electronic medical record that contains 170 unique variables representing discrete clinical observations. These variables were used in 300 medical logic modules (MLM's) that prompted health care providers to deliver preventive counseling or otherwise served as clinical decision support. Using data visualization tools, we generated maps that illustrate connections, or lack thereof, between clinical topics within CHICA's MLMs. Conclusions The development of such maps may allow multiple disciplines commonly interacting over EMR platforms, and various perspectives (clinicians, programmers, informationists) to work more effectively as teams to refine the EMR by programming logic routines to address co-morbidities or other instances where domains of medical knowledge should be connected.Item Geo-Temporal Visualization for Tourism Data Using Color Curves(2019-05) Choi, In Kwon; Fang, Shiaofen; Xia, Yuni; Zheng, Jiang-YuFor individuals in the tourism industry and other businesses, the department of tourism in the government, or the individuals who are planning a travel, the data of tourist population movement can be a valuable resource that can uncover insights that could bring more profit and more tourists, or make the trip more enjoyable. As visualization is an effective way of conveying information with multiple dimensions, we would like to visualize the geo-temporal floating population data of tourists and residents in Jeju island in the Republic of Korea in two-dimensional space. In this study, we introduce the two methods we have implemented for visualizing the geo-temporal data using color curves as the representation of time dimension. We use the dots as the markers of floating population, and each color of dots represents the 24 hours of a day. In the first method, we plot the colored dots directly on the map, thereby coloring the area the data represents. In the second method, we plot the same dots inside a semi-transparent circle divided into arcs that represent each month of a year. The user can compare the population of tourists and residents between the different times of a day, the different months and the weather conditions to analyze the floating population in the given area.Item A Picture is Worth 150 Words: Using Wordle to Assess Library Instruction(Pierian Press, 2011) Huisman, Rhonda K.; Hanna, Kathleen A.Making library instruction interactive and engaging is no easy feat, and assessment of the standard one-shot visit can be difficult. Librarians need a simple and fast method for evaluation of learning. The one-minute paper is an effective way to generate immediate feedback from students, but student responses often consist of “everything seemed clear” or other vague statements. We decided to try to repurpose this widely-used technique by incorporating a visual imagery tool. Wordle (http://www.wordle.net) offered an active and entertaining method for soliciting responses from students and assessing what they learned during library instruction sessions by the creation of word clouds.Item Visualizing Social Science Research in an Institutional Repository(2015-06-03) Polley, David E.Using text mining and visualization techniques to identify the topical coverage of text corpora is increasingly common in a number of disciplines. When these approaches are applied to the titles and abstracts of articles published in an academic journal, it yields insight into the evolution of scholarly content in the journal. Similarly, text mining and visualization can reveal the topical coverage of items archived in an institutional repository. This poster will present initial results from mining the text and visualizing the abstracts of social science research in one university’s institutional repository. Generating a topic map visually demonstrates how research in a repository clusters around specific domains in the social sciences. These topic maps are potentially useful to librarians and researchers seeking to learn more about the topical coverage of items in their repository and determine if the research is reflective of the scholarly output from an institution more broadly.Item Visualizing the topical coverage of an institutional repository using VOSviewer(Rowman & Littlefield, 2016) Polley, David E.Item Web-based geotemporal visualization of healthcare data(2014-10-09) Bloomquist, Samuel W.; Fang, Shiaofen; Tuceryan, Mihran; Xia, YuniHealthcare data visualization presents challenges due to its non-standard organizational structure and disparate record formats. Epidemiologists and clinicians currently lack the tools to discern patterns in large-scale data that would reveal valuable healthcare information at the granular level of individual patients and populations. Integrating geospatial and temporal healthcare data within a common visual context provides a twofold benefit: it allows clinicians to synthesize large-scale healthcare data to provide a context for local patient care decisions, and it better informs epidemiologists in making public health recommendations. Advanced implementations of the Scalable Vector Graphic (SVG), HyperText Markup Language version 5 (HTML5), and Cascading Style Sheets version 3 (CSS3) specifications in the latest versions of most major Web browsers brought hardware-accelerated graphics to the Web and opened the door for more intricate and interactive visualization techniques than have previously been possible. We developed a series of new geotemporal visualization techniques under a general healthcare data visualization framework in order to provide a real-time dashboard for analysis and exploration of complex healthcare data. This visualization framework, HealthTerrain, is a concept space constructed using text and data mining techniques, extracted concepts, and attributes associated with geographical locations. HealthTerrain's association graph serves two purposes. First, it is a powerful interactive visualization of the relationships among concept terms, allowing users to explore the concept space, discover correlations, and generate novel hypotheses. Second, it functions as a user interface, allowing selection of concept terms for further visual analysis. In addition to the association graph, concept terms can be compared across time and location using several new visualization techniques. A spatial-temporal choropleth map projection embeds rich textures to generate an integrated, two-dimensional visualization. Its key feature is a new offset contour method to visualize multidimensional and time-series data associated with different geographical regions. Additionally, a ring graph reveals patterns at the fine granularity of patient occurrences using a new radial coordinate-based time-series visualization technique.