  In this work, we characterize the doctor-patient relationship using a machine
learning-derived trust score. We show that this score has statistically
significant racial associations, and that by modeling trust directly we find
stronger disparities in care than by stratifying on race. We further
demonstrate that mistrust is indicative of worse outcomes, but is only weakly
associated with physiologically-created severity scores. Finally, we describe
sentiment analysis experiments indicating patients with higher levels of
mistrust have worse experiences and interactions with their caregivers. This
work is a step towards measuring fairer machine learning in the healthcare
domain.
