Bias in Healthcare Machine Learning: Beyond the Dataset

Bias in healthcare ML is often treated as a dataset issue.

However, it is also influenced by system-level factors:

• Clinical workflows
• Resource availability
• Decision-making patterns
• Access to care

Models trained on such data may learn these patterns.

Addressing bias requires understanding both data and system dynamics.

My work focuses on applying ML with this broader perspective.

I am open to remote roles globally.

Follow my work here:

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