Beyond the ROC Curve: Activity Monitoring to Evaluate Deep Learning Models in Clinical Settings
We evaluated ‘VITALCARE-SEPS’, a deep learning model for sepsis prediction, using the activity monitoring operator characteristics curve with two different scoring algorithms. This evaluation is crucial as the AMOC curve addresses the time-dependent nature of predictions, providing a more nuanced p...
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| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca
2024-11-01
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| Series: | Applied Medical Informatics |
| Subjects: | |
| Online Access: | https://ami.info.umfcluj.ro/index.php/AMI/article/view/1074 |
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