Ensuring the fairness of algorithms that predict patient disease risk

“To treat or not to treat?” is the question continually faced by clinicians. To help with their decision making, some turn to disease risk prediction models. These models forecast which patients are more or less likely to develop disease and thus could benefit from treatment, based on demographic factors and medical data.

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