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Updated: Jun 29, 2025

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对可用于机器学习的可用欧洲数据源进行景观分析,并对罕见疾病查的可用性提出建议

Ralitsa Raycheva1,2, Kostadin Kostadinov3,4, Elena Mitova4

  • 1Department of Social Medicine and Public Health, Faculty of Public Health, Medical University of Plovdiv, Plovdiv, Bulgaria. r.raycheva@mu-plovdiv.bg.

Orphanet journal of rare diseases
|April 6, 2024
PubMed
概括

欧洲卫生数据库显示,人们对FAIR原则的遵守较差,分享数据的意愿较低,这阻碍了罕见疾病研究和患者护理. 解决这些障碍对于推动二次数据使用至关重要.

关键词:
人工智能 (AI) 是一种人工智能.同意 同意 同意 同意数据库 数据库就是数据库.欧洲储备网络 (ERN) 是一个非常重要的网络.电子健康记录是电子健康记录.这是公平的,公平的.健康数据 卫生数据立法 立法 立法 立法机器学习 (ML) 是指机器学习.罕见疾病是一种罕见的疾病.

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