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首页> 外文期刊>Advances in Radiation Oncology >The big data effort in radiation oncology: Data mining or data farming?
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The big data effort in radiation oncology: Data mining or data farming?

机译:放射肿瘤学上的大数据工作:数据挖掘还是数据农业?

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摘要

Although large volumes of information are entered into our electronic health care records, radiation oncology information systems and treatment planning systems on a daily basis, the goal of extracting and using this big data has been slow to emerge. Development of strategies to meet this goal is aided by examining issues with a data farming instead of a data mining conceptualization. Using this model, a vision of key data elements, clinical process changes, technology issues and solutions, and role for professional societies is presented. With a better view of technology, process and standardization factors, definition and prioritization of efforts can be more effectively directed.
机译:尽管每天都有大量信息输入到我们的电子医疗记录,放射肿瘤学信息系统和治疗计划系统中,但提取和使用这些大数据的目标却很缓慢地出现。通过研究数据耕作问题而不是数据挖掘概念化,可以帮助制定实现此目标的策略。使用该模型,可以看到关键数据元素,临床过程变化,技术问题和解决方案以及专业协会的作用。通过更好地了解技术,流程和标准化因素,可以更有效地指导工作的定义和优先级。

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