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

被引：18

作者：

Tsai, Chiaojung Jillian ^{[1
]}

Riaz, Nadeem ^{[1
]}

Gomez, Scarlett Lin ^{[2
]}

机构：

[1] Mem Sloan Kettering Canc Ctr, Dept Radiat Oncol, 1275 York Ave, New York, NY 10065 USA

[2] Univ Calif San Francisco, Sch Med, Dept Epidemiol & Biostat, San Francisco, CA USA

来源：

SEMINARS IN RADIATION ONCOLOGY | 2019年 / 29卷 / 04期

关键词：

D O I：

10.1016/j.semradonc.2019.05.002

中图分类号：

R73 [肿瘤学];

学科分类号：

100214 ;

摘要：

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.

引用

页码：306 / 310

页数：5

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