Beyond the ROC Curve: Activity Monitoring to Evaluate Deep Learning Models in Clinical Settings

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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Bibliographic Details
Main Authors: Hyunwoo CHOO, Kyung Hyun LEE, Sungsoo HONG, Sungjun HONG, Ki-Byung LEE, Chang Youl LEE
Format: Article
Language:English
Published: Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca 2024-11-01
Series:Applied Medical Informatics
Subjects:
Deep learning
Sepsis
Activity monitoring
ROC (receiver operating characteristic) curve
Online Access:https://ami.info.umfcluj.ro/index.php/AMI/article/view/1074
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