Cargando…
Internal and External Validation of a Machine Learning Risk Score for Acute Kidney Injury
IMPORTANCE: Acute kidney injury (AKI) is associated with increased morbidity and mortality in hospitalized patients. Current methods to identify patients at high risk of AKI are limited, and few prediction models have been externally validated. OBJECTIVE: To internally and externally validate a mach...
Autores principales: | Churpek, Matthew M., Carey, Kyle A., Edelson, Dana P., Singh, Tripti, Astor, Brad C., Gilbert, Emily R., Winslow, Christopher, Shah, Nirav, Afshar, Majid, Koyner, Jay L. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7420241/ https://www.ncbi.nlm.nih.gov/pubmed/32780123 http://dx.doi.org/10.1001/jamanetworkopen.2020.12892 |
Ejemplares similares
-
Comparison of Early Warning Scoring Systems for Hospitalized Patients With and Without Infection at Risk for In-Hospital Mortality and Transfer to the Intensive Care Unit
por: Liu, Vincent X., et al.
Publicado: (2020) -
Comparison of early warning scores for predicting clinical deterioration and infection in obstetric patients
por: Arnolds, David E., et al.
Publicado: (2022) -
Predicting neurological outcomes after in-hospital cardiac arrests for patients with Coronavirus Disease 2019
por: Mayampurath, Anoop, et al.
Publicado: (2022) -
Predicting clinical deterioration with Q-ADDS compared to NEWS, Between the Flags, and eCART track and trigger tools
por: Campbell, Victoria, et al.
Publicado: (2020) -
External Validation of a Clinical Score for Patients With Neuroendocrine Tumors Under Consideration for Peptide Receptor Radionuclide Therapy
por: Das, Satya, et al.
Publicado: (2022)