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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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Navigating Data Challenges in Healthcare Research

This chapter examines the intersection of machine learning and health services research, focusing on the implications of reliable data during the COVID-19 pandemic. It emphasizes the necessity of addressing data quality issues and the importance of inclusivity in data contributions to inform healthcare policies. Additionally, it critiques current analytical standards and advocates for rigor and transparency in causal inference methodologies within clinical research.

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