Use of machine learning for early prediction of short-term mortality in veterans with metabolic dysfunction-associated steatotic liver disease.
<h4>Background</h4>Metabolic dysfunction associated steatotic liver disease (MASLD) is a leading cause of chronic liver disease worldwide and affects >25% in the United States population. We hypothesized that clinical features present in electronic health records (EHR) could be extracted early to ch...
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| Hauptverfasser: | , , , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Public Library of Science (PLoS)
2025-01-01
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| Schriftenreihe: | PLoS ONE |
| Online-Zugang: | https://doi.org/10.1371/journal.pone.0334715 |
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