Deep Learning–Based Time-to-Death Prediction Model for COVID-19 Patients Using Clinical Data and Chest Radiographs.
Accurate estimation of mortality and time to death at admission for COVID-19 patients is important and several deep learning models have been created for this task. However, there are currently no prognostic models which use end-to-end deep learning to predict time to event for admitted COVID-19 pat...
| Published in: | Journal of Digital Imaging Vol. 36; no. 1; pp. 178 - 189 |
|---|---|
| Main Authors: | , , , , , , |
| Format: | diagnostic images pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Feb2023
|
| Online Access: | View this record in EBSCOhost |