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

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

Abstract

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.

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[医学合成数据：生成、评估和限制]。

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。

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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

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