Wasm-iCARE: a portable and privacy-preserving web module to build, validate, and apply absolute risk models.

Autor:	Balasubramanian JB; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA., Choudhury PP; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.; American Cancer Society, Atlanta, GA, USA., Mukhopadhyay S; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA., Ahearn T; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA., Chatterjee N; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.; Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA., García-Closas M; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.; The Cancer Epidemiology and Prevention Research Unit, The Institute of Cancer Research, London, England., Almeida JS; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD, USA.
Jazyk:	angličtina
Zdroj:	ArXiv [ArXiv] 2023 Oct 13. Date of Electronic Publication: 2023 Oct 13.
Abstrakt:	Objective: Absolute risk models estimate an individual's future disease risk over a specified time interval. Applications utilizing server-side risk tooling, such as the R-based iCARE (R-iCARE), to build, validate, and apply absolute risk models, face serious limitations in portability and privacy due to their need for circulating user data in remote servers for operation. Our objective was to overcome these limitations. Materials and Methods: We refactored R-iCARE into a Python package (Py-iCARE) then compiled it to WebAssembly (Wasm-iCARE): a portable web module, which operates entirely within the privacy of the user's device. Results: We showcase the portability and privacy of Wasm-iCARE through two 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 keeps user data on-device during risk calculation. Conclusions: Wasm-iCARE fosters accessible and privacy-preserving risk tools, accelerating their validation and delivery. Competing Interests: CONFLICT OF INTEREST STATEMENT The authors declare no competing interests with respect to this publication.
Databáze:	MEDLINE
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