Jeya Balaji Balasubramanian, Parichoy Pal Choudhury, Srijon Mukhopadhyay, Thomas Ahearn, Nilanjan Chatterjee, Montserrat García-Closas, Jonas S Almeida
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引用次数: 0
摘要
目的：绝对风险模型估算个人在特定时间间隔内的未来疾病风险。利用服务器端风险工具--基于 R 的 iCARE（R-iCARE）--来构建、验证和应用绝对风险模型的应用程序在可移植性和隐私性方面受到了限制，因为它们需要在远程服务器中流通用户数据才能运行。我们通过将 iCARE 移植到网络平台来克服这一问题：我们将R-iCARE重构为一个Python包（Py-iCARE），然后将其编译为WebAssembly（Wasm-iCARE）--一个可移植的网络模块，该模块在用户设备的隐私范围内运行：我们通过两个应用程序展示了 Wasm-iCARE 的可移植性和隐私性：用于研究人员对风险模型进行统计验证，以及将模型提供给最终用户。这两个应用程序都完全在客户端运行，无需下载或安装，并在风险计算过程中将用户数据保留在设备上：Wasm-iCARE促进了风险工具的可访问性和隐私保护，加快了风险工具的验证和交付。
Wasm-iCARE: a portable and privacy-preserving web module to build, validate, and apply absolute risk models.
Objectives: Absolute risk models estimate an individual's future disease risk over a specified time interval. Applications utilizing server-side risk tooling, the R-based iCARE (R-iCARE), to build, validate, and apply absolute risk models, face limitations in portability and privacy due to their need for circulating user data in remote servers for operation. We overcome this by porting iCARE to the web platform.
Materials and methods: We refactored R-iCARE into a Python package (Py-iCARE) and then compiled it to WebAssembly (Wasm-iCARE)-a portable web module, which operates within the privacy of the user's device.
Results: We showcase the portability and privacy of Wasm-iCARE through 2 applications: for researchers to statistically validate risk models and to deliver them to end-users. Both applications run entirely on the client side, requiring no downloads or installations, and keep user data on-device during risk calculation.
Conclusions: Wasm-iCARE fosters accessible and privacy-preserving risk tools, accelerating their validation and delivery.
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