Machine Learning Consensus Clustering Approach for Patients with Lactic Acidosis in Intensive Care Units
Background: Lactic acidosis is a heterogeneous condition with multiple underlying causes and associated outcomes. The use of multi-dimensional patient data to subtype lactic acidosis can personalize patient care. Machine learning consensus clustering may identify lactic acidosis subgroups with uniqu...
Guardado en:
Autores principales: | Pattharawin Pattharanitima, Charat Thongprayoon, Tananchai Petnak, Narat Srivali, Guido Gembillo, Wisit Kaewput, Supavit Chesdachai, Saraschandra Vallabhajosyula, Oisin A. O’Corragain, Michael A. Mao, Vesna D. Garovic, Fawad Qureshi, John J. Dillon, Wisit Cheungpasitporn |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
MDPI AG
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/86c29d5838dd4925a72d8a5eabca7a70 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Machine Learning Prediction Models for Mortality in Intensive Care Unit Patients with Lactic Acidosis
por: Pattharawin Pattharanitima, et al.
Publicado: (2021) -
Acidosis láctica severa asociada a infusión de propofol: Caso clínico
por: Romero P,Carlos, et al.
Publicado: (2008) -
Acidosis láctica asociada a metformina. Caso clínico
por: Quintana,Felipe, et al.
Publicado: (2017) -
Hiperpotasemia extrema no fatal en un caso de acidosis láctica por sobreingesta de metformina
por: Díaz,Rienzi, et al.
Publicado: (2015) -
Feature Importance of Acute Rejection among Black Kidney Transplant Recipients by Utilizing Random Forest Analysis: An Analysis of the UNOS Database
por: Charat Thongprayoon, et al.
Publicado: (2021)