Machine learning and algorithmic fairness in public and population health

Vishwali Mhasawade, Yuan Zhao, Rumi Chunara

Abstract: Algorithmic solutions to improve treatment are starting to transform health care. Mhasawade and colleagues discuss in this Perspective how machine learning applications in population and public health can extend beyond clinical practice. While working with general health data comes with its own challenges, most notably ensuring algorithmic fairness in the face of existing health disparities, the area provides new kinds of data and questions for the machine learning community.