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arXiv Machine Learning By Muhammad Ashad Kabir, Sirajam Munira

From Many to Meaningful: Feature-Guided Zero-Shot Chronic Kidney Disease Screening Using Large Language Models

Read the original on arXiv Machine Learning →

arXiv:2607. 12260v1 Announce Type: new Abstract: Early screening of chronic kidney disease (CKD) is essential for preventing irreversible progression; however, many machine learning (ML)-based screening methods remain difficult to deploy in community and resource-limited screening settings due to their reliance on large labeled datasets, resource-intensive pathology tests, or high-dimensional clinical features, and limited robustness to population and distributional shifts.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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