Dealing with inter-expert variability in retinopathy of prematurity: A machine learning approach
Inter-expert variability in clinical decision making is an important problem. Retinopathy of prematurity is a disease that suffers from inter-expert variability. We propose a methodology for understanding the causes of disagreement. The methodology provides a framework to identify important features for experts. An automatic system was also developed to deal with this problem.
inter-expert variability retinopathy of prematurity machine learning clinical decision-making feature selection classification