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Francis Mawutor Amuyao

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Open access Aug 2026

Fairness Audit and Debiasing of Machine Learning Models for Sepsis Mortality Prediction Across Demographic Subgroups: A Multi-Metric Study with Accuracy–Fairness Tradeoff Analysis

Three ML models were trained on a 10,000-patient cohort calibrated to published MIMIC-IV sepsis statistics, and a four-metric fairness audit was performed across race/ethnicity, sex, and insurance type.

Francis Mawutor Amuyao, Isaac Tosin Adisa · 0 citations
Open access 2026

Evaluating Uncertainty Quantification in Clinical Machine Learning: Calibration, Robustness, and Decision Utility under Distribution Shift

A rigorous empirical framework is presented for comparing three uncertainty quantification approaches on two clinical prediction tasks, in-hospital mortality and 30-day readmission, using 74,829 ICU admissions from the MIMIC-IV database to support a more demanding evaluation standard for UQ in clinical machine learning...

Isaac Tosin Adisa, Francis Mawutor Amuyao, Ezekiel Olaoluwa Joaquim · 0 citations

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