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

Angier Allen Samson Mataraso Anna C Siefkas Hoyt Burdick Gregory L Braden R Phillip Dellinger Andrea McCoy Emily Pellegrini Jana L Hoffman Abigail Green-Saxena Gina Barnes Jacob Calvert Ritankar Das

Published in: JMIR public health and surveillance (2020)

This study indicates there may be significant racial bias in commonly used severity scoring systems and that machine learning algorithms may reduce bias while improving on the accuracy of these methods.

Keyphrases

machine learning
deep learning
artificial intelligence
big data
type diabetes