Interpretable machine learning model for predicting covert hepatic encephalopathy in patients with cirrhosis: a multicenter study
Background and aimCovert hepatic encephalopathy (CHE) is a neurocognitive complication affecting 40.9–50.4% of patients with cirrhosis. It often remains undiagnosed owing to its subclinical nature and the limitations of existing diagnostic tools, which are constrained by subjectivity, variable sensi...
Gorde:
| Egile Nagusiak: | , , , , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
Frontiers Media S.A.
2025-11-01
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| Saila: | Frontiers in Medicine |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1686005/full |
| Etiketak: |
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