
Understanding the COVID-19 Data Quality Problem with Sherri Rose - #374
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
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Evaluating Algorithmic Fairness in Healthcare
This chapter explores the critical need for assessing algorithmic fairness in healthcare, particularly its impact on marginalized communities. It discusses the development of new fair regression methods aimed at addressing disparities in healthcare funding and highlights the importance of rigorous evaluation techniques in clinical practice.
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