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Big Data in Cancer Research: Real-World Resources for Precision Oncology to Improve Cancer Care Delivery

机译:癌症研究中的大数据:真正的精密肿瘤资源,改善癌症护理

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In oncology, the term "big data" broadly describes the rapid acquisition and generation of massive amounts of information, typically from population cancer registries, electronic health records, or large-scale genetic sequencing studies. The challenge of using big data in cancer research lies in interdisciplinary collaboration and information processing to unify diverse data sources and provide valid analytics to harness meaningful information. This article provides an overview of how big data approaches can be applied in cancer research, and how they can be used to translate information into new ways to ultimately make informed decisions that improve cancer care and delivery. (C) 2019 Published by Elsevier Inc.
机译:在肿瘤学中,术语“大数据”广泛地描述了迅速获取和产生大量信息,通常来自人口癌症注册表,电子健康记录或大规模遗传测序研究。 使用癌症研究大数据的挑战在于跨学科协作和信息处理,以统一不同的数据来源,并提供有效的分析来利用有意义的信息。 本文概述了大数据方法如何应用于癌症研究,以及它们如何用于将信息转化为最终提出改善癌症护理和交付的知识决策。 (c)2019由elsevier公司出版

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