Wasm-iCARE:一个便携式,保护隐私的网络模块,用于构建,验证和应用绝对风险模型
Jeya Balaji Balasubramanian1, Parichoy Pal Choudhury1,2, Srijon Mukhopadhyay1
1Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, United States.
JAMIA open
|June 28, 2024
概括
基于WebAssembly的iCARE (Wasm-iCARE) 能够在用户设备上进行隐私保护的疾病风险计算. 这一创新克服了基于服务器的工具的局限性,提高了可访问性,加快了风险模型的部署.
科学领域:
- 计算生物学是一种计算生物学.
- 医疗信息学 医疗信息学
- 网络技术 网络技术
背景情况:
- 绝对风险模型对于估计个体疾病概率至关重要.
- 现有的基于R的iCARE (R-iCARE) 工具需要服务器端处理,这给隐私和可移植性带来了挑战.
- 远程服务器中用户数据的流通限制了风险估计工具的广泛采用.
研究的目的:
- 将R-iCARE绝对风险建模工具移植到一个Web平台上.
- 提高绝对风险模型应用程序的可移植性和隐私性.
- 为了使客户端执行风险计算,保护用户数据.
主要方法:
- 将R-iCARE重构成一个Python包 (Py-iCARE).
- 将Py-iCARE编译为WebAssembly (Wasm-iCARE) 用于网络部署.
- 开发了WASM-iCARE应用程序,用于模型验证和最终用户交付.
主要成果:
- Wasm-iCARE 应用程序完全在客户端运行,不需要下载或安装.
- 在风险计算期间,用户数据仍保留在设备上,确保隐私.
- 通过实际应用来证明WASM-iCARE的可移植性和隐私优势.
结论:
- Wasm-iCARE提供了可访问和保护隐私的风险评估工具.
- 该技术加速了绝对风险模型的验证和交付.
- 通过解决数据隐私问题,促进疾病风险估计工具的更广泛采用.
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