When healthcare data contains biases or suffers from missingness, the resulting analyses, predictions, and interventions may inadvertently perpetuate or even amplify existing inequalities. In the third instalment of our data assets series, we explore the nature of these data challenges and offer practical strategies for mitigation. Understanding Bias in Healthcare Data Bias in healthcare data… Continue reading Addressing Biases and Missingness in Healthcare Data
