Article

Causal modeling of chronic kidney disease in a participatory framework for informing the inclusion of social drivers in health algorithms

2025-11-22

Abstract excerpt

Incomplete or incorrect causal theories are a key source of bias in machine learning (ML) algorithms. Community-engaged methodologies provide an avenue for mitigating this bias through incorporating causal insights from community stakeholders into ML development. In health applications, community-engaged approaches can enable the study of social drivers of health (SDOH), which are known to shape health inequities....

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Literature Corpus work: e686472a-a5b8-5c55-ae21-8aa7704e8d2c
DOI: 10.1101/2025.11.19.25340498

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