Characterizing the temporal changes in association between modifiable risk factors and acute kidney injury with multi-view analysis.
Background: Acute kidney injury (AKI) is a common life-threatening clinical syndrome in hospitalized patients. Advances in machine learning has demonstrated success in AKI risk prediction using electronic health records (EHRs). However, to prevent AKI, it is critical to identify clinically modifiabl...
| Publicado en: | International Journal of Medical Informatics Vol. 163 |
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| Autores principales: | , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Elsevier B.V.
Jul2022
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| Acceso en línea: | Ver este registro en EBSCOhost |