Machine Learning Model for the Prediction of Hemorrhage in Intensive Care Units
Objectives Early hemorrhage detection in intensive care units (ICUs) enables timely intervention and reduces the risk of irreversible outcomes. In this study, we aimed to develop a machine learning model to predict hemorrhage by learning the patterns of continuously changing, real-world clinical dat...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
The Korean Society of Medical Informatics
2022-10-01
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| Series: | Healthcare Informatics Research |
| Subjects: | |
| Online Access: | http://www.e-hir.org/upload/pdf/hir-2022-28-4-364.pdf |