| 联邦学习在医疗信息化中的应用研究 |
| 修订日期：2022-10-11 点此下载全文 |
| 引用本文：聂文静,信伦,李帜.联邦学习在医疗信息化中的应用研究[J].医学信息学杂志,2022,43(10):12-16 |
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| 中文摘要:介绍联邦学习技术分类和特点,阐述联邦学习技术在医疗信息化领域中的典型应用场景,包括心电异常检测、罕见病研究、老年人运动健康检测、医疗影像研究等方面,分析该领域面临的挑战和未来发展趋势。 |
| 中文关键词:联邦学习 医疗信息化 数据共享 数据协作 联合建模 |
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| Study on the Application of Federated Learning in Medical Informatization |
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| Abstract:The paper introduces the classification and characteristics of federated learning technology, expounds the typical application scenarios of federated learning technology in the field of medical informatization, including electrocardiograph (ECG) abnormal detection, rare disease research, elderly exercise health detection, medical imaging research, etc., and analyzes the challenges and future development trends in this field. |
| keywords:federated learning medical informatization data sharing data collaboration joint modeling |
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