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Machine Learning for Equitable Healthcare Outcomes with Irene Chen - #479

The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)

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Navigating Ethical Considerations in Machine Learning for Healthcare

This chapter explores the integration of ethics, equity, and inclusion in the machine learning pipeline for healthcare applications. It emphasizes the necessity of diverse patient perspectives in every stage, addressing challenges like risk stratification and bias in predictive technologies.

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