most citedFAIR Enough: How Can We Develop and Assess a FAIR-Compliant Dataset for Large Language Models' Training?

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cs.LG2024

Exploring Bias and Prediction Metrics to Characterise the Fairness of Machine Learning for Equity-Centered Public Health Decision-Making: A Narrative Review

Shaina Raza, Arash Shaban-Nejad, Elham Dolatabadi +1

Background: The rapid advancement of Machine Learning (ML) represents novel opportunities to enhance public health research, surveillance, and decision-making. However, there is a…