A Racially Unbiased, Machine Learning Approach to Prediction of Mortality: Algorithm Development Study

• Main Authors: Allen, Angier (Author), Mataraso, Samson (Author), Siefkas, Anna (Author), Burdick, Hoyt (Author), Braden, Gregory (Author), Dellinger, R Phillip (Author), McCoy, Andrea (Author), Pellegrini, Emily (Author), Hoffman, Jana (Author), Green-Saxena, Abigail (Author), Barnes, Gina (Author), Calvert, Jacob (Author), Das, Ritankar (Author)
• Format: Book
• Published: JMIR Publications, 2020-10-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BackgroundRacial disparities in health care are well documented in the United States. As machine learning methods become more common in health care settings, it is important to ensure that these methods do not contribute to racial disparities through biased predictions or differential accuracy acros...