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Wasm-iCARE: a portable and privacy-preserving web module to build, validate, and apply absolute risk models.
Balasubramanian, Jeya Balaji; Choudhury, Parichoy Pal; Mukhopadhyay, Srijon; Ahearn, Thomas; Chatterjee, Nilanjan; García-Closas, Montserrat; Almeida, Jonas S.
Affiliation
  • Balasubramanian JB; Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, United States.
  • Choudhury PP; Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, United States.
  • Mukhopadhyay S; Surveillance & Health Equity Science, American Cancer Society, Atlanta, GA 30303, United States.
  • Ahearn T; Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, United States.
  • Chatterjee N; Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, United States.
  • García-Closas M; Department of Biostatistics, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD 21205, United States.
  • Almeida JS; Trans-Divisional Research Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, United States.
JAMIA Open ; 7(2): ooae055, 2024 Jul.
Article in En | MEDLINE | ID: mdl-38938691
ABSTRACT

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.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: JAMIA Open Year: 2024 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: JAMIA Open Year: 2024 Document type: Article Affiliation country: United States Country of publication: United States