卵巢癌的大数据研究
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  • 英文篇名:Big data research in ovary cancer
  • 作者:狄文 ; 胡媛
  • 英文作者:DI Wen;HU Yuan;
  • 关键词:卵巢肿瘤 ; 大数据
  • 英文关键词:ovarian tumor;;big data
  • 中文刊名:ZGSF
  • 英文刊名:Chinese Journal of Practical Gynecology and Obstetrics
  • 机构:上海交通大学医学院附属仁济医院妇产科;
  • 出版日期:2018-01-02
  • 出版单位:中国实用妇科与产科杂志
  • 年:2018
  • 期:v.34
  • 语种:中文;
  • 页:ZGSF201801006
  • 页数:5
  • CN:01
  • ISSN:21-1332/R
  • 分类号:23-27
摘要
<正>卵巢癌发病率居女性生殖系统恶性肿瘤第3位,死亡率居妇科恶性肿瘤之首。大数据通常是指用常规软件工具进行捕捉、管理和处理的数据集合,具有数据容量大、种类多和较高的科学价值。本文将对卵巢癌大数据研究资料进行归纳和整理。1流行病学特点在全球范围内,发达国家的卵巢癌发病率为
        
引文
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