乳腺癌预防和治疗的知识图:基于文献的数据分析研究研究
Shuyan Jin1, Haobin Liang2, Wenxia Zhang1
1Health Department, Shenzhen Maternity and Child Healthcare Hospital, Shenzhen, China.
JMIR medical informatics
|February 27, 2024
概括
这项研究开发了一个知识图表,以整合乳腺癌预防和治疗研究,揭示关键疗法和药物. 该图表有助于研究人员发现复杂的关系,以改善临床决策.
科学领域:
- 在瘤学瘤学.
- 生物信息学是一种生物信息学.
- 数据科学数据科学数据科学
背景情况:
- 乳腺癌发病率上升需要先进的研究整合.
- 关于预防和治疗乳腺癌的现有文献缺乏系统的组织.
- 知识图提供了一个结构化的方法来合成复杂的乳腺癌数据.
研究的目的:
- 整合乳腺癌治疗和预防的文献数据.
- 构建一个全面的知识图.
- 通过数据集成来支持临床决策.
主要方法:
- 使用医学主题标题搜索PubMed临床试验文献 (2018-2022年) 使用医学主题标题.
- 从语义 MEDLINE 数据库 (SemMedDB) 提取的三位数数据.
- 使用NetworkX进行知识发现的可视化数据.
主要成果:
- 恶性瘤是最常见的主题 (42.3%).
- 药物治疗 (19.3%) 是主要治疗方法,而特拉斯图祖马布 (11.6%) 是关键药物.
- 知识图显示了治疗,药物和预防措施之间的复杂关系.
结论:
- 成功构建了一个知识图,用于预防和治疗乳腺癌.
- 该图表整合并促进了最近文献的知识发现.
- 研究人员可以了解治疗方法,药物和预防策略.
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