2 citations · 7 across the 11 of their papers we have counts for
3 papers · 1 filter
An Algorithmic Approach for Causal Health Equity: A Look at Race Differentials in Intensive Care Unit (ICU) Outcomes
Drago Plecko, Paul Secombe, Andrea Clarke +7
The new era of large-scale data collection and analysis presents an opportunity for diagnosing and understanding the causes of health inequities. In this study, we describe a frame…
fairadapt: Causal Reasoning for Fair Data Pre-processing
Drago Plečko, Nicolas Bennett, Nicolai Meinshausen
Machine learning algorithms are useful for various predictions tasks, but they can also learn how to discriminate, based on gender, race or other sensitive attributes. This realiza…
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning
Michael Moor, Nicolas Bennet, Drago Plecko +5
Despite decades of clinical research, sepsis remains a global public health crisis with high mortality, and morbidity. Currently, when sepsis is detected and the underlying pathoge…