Machine Learning Consensus Clustering Approach for Hospitalized Patients with Dysmagnesemia
Background: The objectives of this study were to classify patients with serum magnesium derangement on hospital admission into clusters using unsupervised machine learning approach and to evaluate the mortality risks among these distinct clusters. Methods: Consensus cluster analysis was performed ba...
Guardado en:
Autores principales: | Charat Thongprayoon, Janina Paula T. Sy-Go, Voravech Nissaisorakarn, Carissa Y. Dumancas, Mira T. Keddis, Andrea G. Kattah, Pattharawin Pattharanitima, Saraschandra Vallabhajosyula, Michael A. Mao, Fawad Qureshi, Vesna D. Garovic, John J. Dillon, Stephen B. Erickson, Wisit Cheungpasitporn |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/3ab80296b4334b97afb4bc0d2561f609 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Machine Learning Consensus Clustering Approach for Patients with Lactic Acidosis in Intensive Care Units
por: Pattharawin Pattharanitima, et al.
Publicado: (2021) -
Recurrent Generalized Seizures with Postictal Todd’s Paralysis Caused by Medication-Associated Severe Hypomagnesemia: A Case Report
por: Abdalla Khalil, et al.
Publicado: (2021) -
Identification of Immune-Related Biomarkers for Sciatica in Peripheral Blood
por: Xin Jin, et al.
Publicado: (2021) -
A network meta-analysis and systematic review of change in QRS duration after left bundle branch pacing, His bundle pacing, biventricular pacing, or right ventricular pacing in patients requiring permanent pacemaker
por: Nithi Tokavanich, et al.
Publicado: (2021) -
Machine Learning Prediction Models for Mortality in Intensive Care Unit Patients with Lactic Acidosis
por: Pattharawin Pattharanitima, et al.
Publicado: (2021)