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cs.LG2023
Machine Learning for Health symposium 2023 -- Findings track
Stefan Hegselmann, Antonio Parziale, Divya Shanmugam +5
A collection of the accepted Findings papers that were presented at the 3rd Machine Learning for Health symposium (ML4H 2023), which was held on December 10, 2023, in New Orleans,…
cs.LG2023★ 21 cited
Globalizing Fairness Attributes in Machine Learning: A Case Study on Health in Africa
Mercy Nyamewaa Asiedu, Awa Dieng, Abigail Oppong +3
With growing machine learning (ML) applications in healthcare, there have been calls for fairness in ML to understand and mitigate ethical concerns these systems may pose. Fairness…