Development and deployment of an interpretable stacking ensemble model for predicting in-hospital mortality in ICU patients with chronic kidney disease and sepsis
Objective To develop an interpretable stacking ensemble model for predicting in-hospital mortality in intensive care unit (ICU) patients with CKD and sepsis and to deploy it as a web-based tool for bedside clinical use. Methods Data were extracted from the MIMIC-IV 3.0 database and split into traini...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
SAGE Publishing
2026-01-01
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| Serie: | Digital Health |
| Accesso online: | https://doi.org/10.1177/20552076261415938 |
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