Multi-modality risk prediction of cardiovascular diseases for breast cancer cohort in the All of Us Research Program.

ABSTRACT:

Objective

This study leverages the rich diversity of the All of Us Research Program (All of Us)'s dataset to devise a predictive model for cardiovascular disease (CVD) in breast cancer (BC) survivors. Central to this endeavor is the creation of a robust data integration pipeline that synthesizes electronic health records (EHRs), patient surveys, and genomic data, while upholding fairness across demographic variables.

Materials and methods

We have developed a universal data wrangling pipeline to process and merge heterogeneous data sources of the All of Us dataset, address missingness and variance in data, and align disparate data modalities into a coherent framework for analysis. Utilizing a composite feature set including EHR, lifestyle, and social determinants of health (S

SUBMITTER: Yang H 

PROVIDER: S-EPMC11631116 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature