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Accelerometry-Derived Digital Biomarkers for Cardiometabolic Risk: A Population-Representative Tabular Benchmark with Uncertainty Quantification

arXiv cs.LG · 2026-07-01 Cached

This paper introduces the NHANES Accelerometry Cardiometabolic Benchmark, a population-representative tabular dataset for predicting cardiometabolic risk from accelerometry data, and evaluates ridge regression, XGBoost, and TabPFN v2 with uncertainty quantification using conformal prediction.

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