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Does Model Compression Amplify Clinical Bias? A Subgroup Fairness Audit of Quantized ICU Risk Models on MIMIC-IV

2026-07-30

Abstract excerpt

<title>Abstract</title> <p>Model compression is a prerequisite for deploying clinical risk-prediction models on resource-constrained hardware, but its effect on subgroup fairness is rarely audited alongside its effect on aggregate accuracy. We train a compact multilayer perceptron (5,313 parameters) to predict 72-hour acute kidney injury (AKI) onset in a MIMIC-IV cohort of 52,178 adult first ICU stays, audit its...

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Literature Corpus work
1b8b4a17-ea48-5fb1-a07d-94090390ca91
DOI
10.21203/rs.3.rs-10521968/v1
Open publication

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Does Model Compression Amplify Clinical Bias? A Subgroup Fairness Audit of Quantized ICU Risk Models on MIMIC-IVDOI 10.21203/rs.3.rs-10521968/v1
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