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Updated: Jul 10, 2025

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Author Spotlight: Advancing Personalized Medicine in Ovarian Cancer
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个性化数据科学和个性化 (N-of-1) 试验:个性化医疗保健有希望的范式
Naihua Duan1, Daniel Norman2, Christopher Schmid3
1Department of Psychiatry, Columbia University, New York, NY).
概括
个性化数据科学 (Per-DS) 使用个人数据进行个人决策. 这种方法使个人能够进行自己的研究,产生自我改进的个人知识.
科学领域:
- 数据科学数据科学数据科学
- 个性化医疗是个性化的医疗.
- 自己实验的自我实验.
背景情况:
- 传统的数据科学专注于大数据,以获得人口层面的洞察力.
- 个性化数据科学 (Per-DS) 将重点转向使用个人数据进行个人决策.
- 个人-DS授权个人作为调查者,参与者和受益者.
研究的目的:
- 描述个性化数据科学 (Per-DS) 的特点.
- 审查Per-DS的现状和未来前景.
- 要突出从数据提取到个人知识的"数据园艺"的转变.
主要方法:
- 个人使用自己的数据设计和实施研究.
- 方法包括系统监测,案例交叉,前后试验和N-of-1试验.
- 专注于"数据园艺":目标设定,研究设计,数据收集和分析.
主要成果:
- 个人-DS产生个人知识,有利于个人未来的自我.
- 与传统的数据科学相反,它有利于外部人群.
- 需要采取积极的方法来培养和分析个人数据.
结论:
- Per-DS为自知决策提供了一个新的框架.
- 便利化需要来自各种资源开发实体的支持.
- 未来的展望包括社区论坛,移动应用程序和Per-DS调查人员的指导.
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