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...
Sparad:
| Huvudupphov: | , , , , , , |
|---|---|
| Materialtyp: | Artigo |
| Språk: | Inglês |
| Utgiven: |
Frontiers Media S.A.
2025-11-01
|
| Serie: | Frontiers in Medicine |
| Ämnen: | |
| Länkar: | https://www.frontiersin.org/articles/10.3389/fmed.2025.1686005/full |
| Taggar: |
Inga taggar, Lägg till första taggen!
|