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

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
项目状态：
未结题
起止时间：
2023-03-01 至 2025-03-01
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

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中文摘要
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英文摘要
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
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