Application of standard based medical data allows development of generic visualization methods. Data in PHRs can be collected from heterogeneous sources. Different backgrounds of the patients, especially elder people require simple graphical presentation of the data. Presentation of medical data in personal health records (PHRs) requires flexible platform independent tools to ensure easy access to the information. It gets you up to date on the latest and most powerful tools, the data mining process, and specific text mining activities.Īpplying open source data visualization tools to standard based medical data.
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The book shows you how to exploit your text data, offering successful application examples and blueprints for you to tackle your text mining tasks and benefit from open and freely available tools. All the examples are available on a supplementary website. You can also easily apply and extend the techniques to other problems. Each chapter presents a case study that you can follow as part of a step-by-step, reproducible example. The contributors-all highly experienced with text mining and open- source software-explain how text data are gathered and processed from a wide variety of sources, including books, server access logs, websites, social media sites, and message boards. Text Mining and Visualization: Case Studies Using Open- Source Tools provides an introduction to text mining using some of the most popular and powerful open- source tools: KNIME, RapidMiner, Weka, R, and Python. Text mining and visualization case studies using open- source tools Julien is also leading the CDash project, an open- source co.
He is one of the developers of the Insight Toolkit (ITK), the Visualization Toolkit (VTK), and ParaView. Julien works on a variety of projects in the areas of parallel and distributed computing, mobile computing, image processing, and visualization. About the speaker Julien Jomier is directing Kitware's European subsidiary in Lyon, France, where he focuses on European business development. In particular, we will present ParaView, an open- source tool for parallel visualization of massive datasets, the Visualization Toolkit (VTK), an open- source toolkit for scientific visualization, and Tangelohub, a suite of tools for large data analytics. In this seminar, we will present a suite of open- source tools supported and developed by Kitware to perform large-scale data visualization and analysis. Visualization and post-processing of large data have become increasingly challenging and require more and more tools to support the diversity of data to process. Large Data Visualization with Open- Source Tools
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