Departement of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY.
Departement of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY.
Semin Radiat Oncol. 2019 Oct;29(4):306-310. doi: 10.1016/j.semradonc.2019.05.002.
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.
在肿瘤学中，“大数据”一词广泛描述了大量信息的快速获取和生成，这些信息通常来自人群癌症登记处、电子健康记录或大规模基因测序研究。在癌症研究中使用大数据的挑战在于跨学科合作和信息处理，以统一多样化的数据来源，并提供有效的分析方法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，以及如何将信息转化为新的方法，最终做出明智的决策，以改善癌症的治疗和护理。
