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Big data and societal challenges

机译:大数据和社会挑战

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摘要

Massive data sets produced by smart cities, science and health systems throw up challenges of storing, analyzing and visualizing data for the purposes of benefitting society. We look at how advances in knowledge representation, brain information processing and knowledge manipulation can enable health professionals to organize, visualize and draw inferences from patient-specific data. Case examples from medical images from MRI and CT scans will be used to illustrate the challenges of detecting small pathological features. The presentation will also focus on data analysis, problem solving, decision making and the need for active engagement of health professionals in the analytical process.
机译:智慧城市,科学和卫生系统生成的海量数据集提出了存储,分析和可视化数据以造福社会的挑战。我们将研究知识表示,大脑信息处理和知识操纵方面的进步如何使卫生专业人员能够组织,可视化并从患者特定数据中得出推论。来自MRI和CT扫描的医学图像的案例将用于说明检测小病理特征的挑战。演讲还将着重于数据分析,问题解决,决策制定以及卫生专业人员在分析过程中积极参与的需求。

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