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Contrast Mining for Pattern Discovery and Descriptive Analytics to Tailor Sub-Groups of Patients Using Big Data Solutions

机译：对比挖掘模式发现和描述性分析，用于使用大数据解决方案定制患者子组的分析

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The shift to electronic health records has created a plethora of information ready to be examined and acted upon by those in the medical and computational fields. While this allows for novel research on a scale unthinkable in the past, all discoveries still rely on some initial insight leading to a hypothesis. As the size and variety of data grows so do the number of potential findings, making it necessary to optimize hypothesis generation to increase the rate and importance of discoveries produced from the data. By using distributed Association Rule Mining and Contrast Mining in a big data ecosystem, it is possible to discover discrepancies within large, complex populations which are inaccessible using traditional methods. These discrepancies, when used as hypotheses, can help improve patient care through decision support, population health analytics, and other areas of healthcare.

机译：转向电子健康记录已经创造了一定的信息，准备被医疗和计算领域的人员审查和行动。虽然这允许在过去的规模上进行新的研究，但所有发现仍然依赖于一些初步洞察力，导致假设。随着数据的尺寸和各种各样的增加，因此潜在的发现数量，使得有必要优化假设生成，以提高数据产生的发现的速度和重要性。通过使用分布式关联规则挖掘和对比挖掘在大数据生态系统中，可以发现使用传统方法无法访问的大型复杂群体内的差异。当用作假设时，这些差异可以通过决策支持，人口健康分析和医疗保健领域来帮助改善患者护理。

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《MEDINFO》|2017年|xxxvi 676 p. :|共5页
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Michael A. Phinney; Yan Zhuang; Sean Ler; Lincoln Sheets; Jerry C. Parker; Chi-Ren Shyu;
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中图分类医学与其他学科的关系;
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1. Supervised Descriptive Rule Discovery: A Unifying Survey of Contrast Set, Emerging Pattern and Subgroup Mining [J] . Novak Petra Kralj, Lavra?? Nada, Webb Geoffrey I. Journal of machine learning research . 2009,第Feb期

机译：监督性描述规则发现：对比度集，新兴模式和子群挖掘的统一调查
2. Discovery of medical Big Data analytics: Improving the prediction of traumatic brain injury survival rates by data mining Patient Informatics Processing Software Hybrid Hadoop Hive [J] . James A. Rodger Informatics in Medicine Unlocked . 2015,第1期

机译：医学大数据分析的发现：通过数据挖掘提高对颅脑外伤存活率的预测患者信息处理软件Hybrid Hadoop Hive
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机译：基于数据挖掘技术的文本挖掘中模式发现的模式演化模型的开发研究
4. Contrast Mining for Pattern Discovery and Descriptive Analytics to Tailor Sub-Groups of Patients Using Big Data Solutions [C] . Michael A. Phinney, Yan Zhuang, Sean Ler, MEDINFO . 2017

机译：对比挖掘模式发现和描述性分析，用于使用大数据解决方案定制患者子组的分析
5. Contrast and compact data mining: Discovering novel and useful patterns from large databases. [D] . Wan, Qian. 2009

机译：对比和紧凑的数据挖掘：从大型数据库中发现新颖而有用的模式。
6. A novel meta-analytic approach: Mining frequent co-activation patterns in neuroimaging databases [O] . Julian Caspers, Karl Zilles, Christoph Beierle, -1

机译：一种新颖的荟萃分析方法：在神经影像数据库中挖掘频繁的共激活模式
7. Discovery of medical Big Data analytics: Improving the prediction of traumatic brain injury survival rates by data mining Patient Informatics Processing Software Hybrid Hadoop Hive [O] . Rodger James A. 2015

机译：医学大数据分析的发现：通过数据挖掘提高对颅脑外伤存活率的预测患者信息处理软件Hybrid Hadoop Hive

Contrast Mining for Pattern Discovery and Descriptive Analytics to Tailor Sub-Groups of Patients Using Big Data Solutions

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