Towards Quantification of Bias in Machine Learning for Healthcare: A Case Study of Renal Failure Prediction

Josie Williams, Narges Razavian

As machine learning (ML) models, trained on real-world datasets, become common practice, it is critical to measure and quantify their potential biases. In this paper, we focus on r…