OASIS +: leveraging machine learning to improve the prognostic accuracy of OASIS severity score for predicting in-hospital mortality.
Yasser El-ManzalawyMostafa AbbasIan HoaglundAlvaro Ulloa CernaThomas B MorlandChristopher M HaggertyEric S HallBrandon K FornwaltPublished in: BMC medical informatics and decision making (2021)
Our results suggest that there is room for improving the prognostic accuracy of the OASIS severity scores by replacing the simple linear additive scoring function with more sophisticated non-linear machine learning models such as RF and XGB.