Investigating data governance, ethics, and quality measurements of generating and sharing synthetic health data

研究生成和共享综合健康数据的数据治理、道德和质量衡量

• 批准号: 484617
• 负责人: Tsao Shu-Feng
• 金额: $ 7.9万
• 依托单位: Canadian Institute for Health Information/CIHI (Ottawa)
• 依托单位国家: 加拿大
• 项目类别: Fellowship Programs
• 财政年份: 2023
• 资助国家: 加拿大
• 起止时间: 2023-03-01 至 2025-03-01
• 项目状态: 未结题
• 来源: https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=484617&lang=en
• 关键词: Data Governance; Health Synthetic Data; Machine Learning; Policy Analysis; Privacy Enhancing Techniques

Health synthetic data have become a promising alternative to real health data given its potential to accelerate research innovations. Advanced privacy enhancing techniques can be used to create data that carry characteristics of diseases or patients witho

健康合成数据已成为真实的健康数据的一个有前途的替代方案，因为它有可能加速研究创新。先进的隐私增强技术可用于创建携带疾病或患者特征的数据，