A new concordant partial AUC and partial c statistic for imbalanced data in the evaluation of machine learning algorithms.

André M CarringtonPaul W FieguthHammad QaziAndreas HolzingerHelen H ChenFranz MayrDouglas G Manuel

Published in: BMC medical informatics and decision making (2020)

Future work with our proposed measures may: demonstrate their value for imbalanced data with high prevalence, compare them to other measures not based on areas; and combine them with other ROC measures and techniques.

Keyphrases

machine learning
big data
electronic health record
artificial intelligence
deep learning
risk factors