ICU Survival Prediction Incorporating Test-Time Augmentation to Improve the Accuracy of Ensemble-Based Models

ICU Survival Prediction Incorporating Test-Time Augmentation to Improve the Accuracy of Ensemble-Based Models

This work presents a novel method for applying test-time augmentation (TTA) to tabular data. We used TTA along with an ensemble of 42 models to achieve higher performance on the MIT Global Open Source Severity of Illness Score dataset consisting of 131,051 ICU visits and outcomes. This method achiev...

Full description

Bibliographic Details
Main Authors: Seffi Cohen, Noa Dagan, Nurit Cohen-Inger, Dan Ofer, Lior Rokach
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Ensemble methods
machine learning
supervised classification
healthcare
Online Access:https://ieeexplore.ieee.org/document/9462159/

Internet

https://ieeexplore.ieee.org/document/9462159/

Similar Items