Predicting ward transfer mortality with machine learning
In order to address a long standing challenge for internal medicine physicians we developed artificial intelligence (AI) models to identify patients at risk of increased mortality. After querying 2,425 records of patients transferred from non-intensive care units to intensive care units from the Vet...
Main Authors: | , , , , , |
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Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2023-08-01
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Series: | Frontiers in Artificial Intelligence |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2023.1191320/full |