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

no code implementations • 18 Nov 2019 • Josie Williams, Narges Razavian

We will compare and discuss the generalization and applicability of these two models, in an attempt to quantify biases of status quo clinical practice, compared to ML-driven models.

BIG-bench Machine Learning