[医学合成数据：生成、评估和限制]。

IF 0.6 4区医学 Q4 MEDICINE, RESEARCH & EXPERIMENTAL

M S-medecine Sciences Pub Date : 2024-08-01 Epub Date: 2024-09-20 DOI:10.1051/medsci/2024091

Alaedine Benani, Julien Vibert, Stanislas Demuth

引用次数: 0

摘要

数据科学的最新技术进步为医学带来了巨大的发展前景。大型高质量数据集至关重要，但由于隐私、成本和实际挑战等原因，通常难以获得。在此，我们将讨论合成数据的生成、评估和监管，并重点介绍其当前的应用和局限性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

[Synthetic data in medicine: Generation, evaluation and limits].

Recent technological advances in data science hold great promise in medicine. Large-sized high-quality datasets are essential but often difficult to obtain due to privacy, cost, and practical challenges. Here, we discuss synthetic data's generation, evaluation, and regulation, highlighting its current applications and limits.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

M S-medecine Sciences 医学-医学：研究与实验

CiteScore

0.80

自引率

14.30%

发文量

182

审稿时长

4-8 weeks

期刊介绍： m/s offers high-quality review articles in French, covering all areas of biomedical and health research, in a monthly magazine format (10 issues / year). m/s is read by the whole French-speaking community, in France but also in Belgium, Switzerland, Canada, Morocco, Algeria, Tunisia etc. m/s is not a primary publication, and thus will not consider unpublished data. Most articles are invited by the Editors, but spontaneous proposals are welcomed. Each issue combines news and views on the most recent scientific publications, as well as broadly accessible and updated review articles on a specific topic, and essays on science and society, history of science, public health, or reactions to published articles. Each year, m/s also publishes one or two thematic issues focused on a research topic of high interest. All review articles and essays are peer-reviewed.